Last updated: 2024/07/22
๐ฅ๐ฅ๐ฅ Medical Dataset is very important for Medical Image Analysis. In this repository, we provide an up-to-date list of medical datasets.
๐ Contents
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
CT-ORG | 3D CT, 140 Cases, 6 Categories of Organ Segmentation | Github | 2020 | - |
AutoPET | 3D PET-CT, 1214 Cases, 1 Category of Whole Body Tumor Segmentation | Grand Challenge, Grand Challenge | 2022-04 | MICCAI'2022 & 2023 |
TotalSegmentator | 3D CT, 1204 Cases, 104 Categories of Whole Body Organ Segmentation | Github | 2022-07 | - |
TotalSegmentator V2 | 3D CT, 1228 Cases, 117 Categories of Whole Body Organ Segmentation | Github | 2023 | - |
ULS | 3D CT, 38842 Cases, 1 Category of Whole Body Tumor Segmentation | Grand Challenge | 2023-10 | - |
TotalSegmentator MRI | 3D MR, 298 Cases, 56 Categories of Whole Body Organ Segmentation | Github | 2024-05 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
L2R-OASIS | 3D MRI, 416 Cases, 35 Categories of Brain Segmentation and Registration | Grand Challenge | 2007 | - |
DDTI | 2D Ultrasound, 637 Cases, 1 Category of Thyroid Nodule Segmentation | Project Homepage | 2015-01 | - |
Ultrasound Nerve Segmentation | 2D Ultrasound, 11143 Cases, 1 Category of Cervical Nerve Segmentation | Kaggle | 2016-05 | Kaggle |
BraTS-TCGA-LGG | 3D MRI, 65 Cases, 3 Categories of Low Grade Glioma (LGG) Segmentation | TCIA | 2017 | BRATS2015 |
BraTS-TCGA-GBM | 3D MRI, 102 Cases, 3 Categories of Glioblastoma Multiforme (GBM) Segmentation | TCIA | 2017 | BRATS2015 |
PDDCA | 3D CT, 48 Cases, 9 Categories of Head and Neck Organs Segmentation | ImagEngLab | 2017-03 | - |
BraTS18 | 3D MRI, 285 Cases, 3 Categories of Brain Tumor Segmentation | Project Homepage | 2018 | MICCAI'2018 |
iSeg | 3D MRI, 13 Cases, 3 Categories of Brain Tissue Segmentation | Project Homepage | 2019 | MICCAI'2017 & 2019 |
StructSeg2019 Task1 | 3D CT, 50 Cases, 22 Categories of Head and Neck Organs Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
StructSeg2019 Task2 | 3D CT, 50 Cases, 1 Category of Nasopharyngeal Carcinoma Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
MSD Hippocampus | 3D MRI, 394 Cases, 2 Categories of Hippocampus Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
Head CT-hemorrhage | 2D CT, 200 Cases, 2 Categories of Cerebral Hemorrhage Classification | Kaggle | 2019-09 | - |
WMH | 3D MRI, 170 Cases, 1 Category of White Matter Hyperintensity Segmentation | Project Homepage | 2019-11 | - |
TN-SCUI2020 | 2D Ultrasound, 4554 Cases, 1 Category of Thyroid Nodule Segmentation | Grand Challenge | 2020-05 | MICCAI'2020 |
AAPM-RT-MAC | 3D MRI, 55 Cases, 8 Categories of Parotid Gland, Submandibular Gland, and Level 2 and 3 Lymph Nodes Contour Segmentation | TCIA | 2020-07 | - |
CrossMoDA2021 | 3D T1-CE, T2-HR, 349 Cases, 2 Categories of Tumor and Cochlear Structure Segmentation | Grand Challenge | 2021-03 | MICCAI'2021 |
BraTS21 | 3D MRI, 2040 Cases, 3 Categories of Glioma Segmentation | Synapse | 2021-07 | RSNA-ASNR-MICCAI'2021 |
ATLAS v2.0 (ISLES 2022) | 3D MRI, 1271 Cases, 1 Category of Lesions After Stroke Segmentation | Grand Challenge | 2021-12 | MICCAI'2022 |
FeTA 2022 | 3D MRI, 280 Cases, 7 Categories of Infant Brain Tissue Segmentation | Grand Challenge | 2021 | MICCAI'2021 & 2022 |
cSeg 2022 | 3D MRI, 13 Cases, 3 Categories of Brain Tissue Segmentation | Project Homepage | 2022-04 | MICCAI'2022 |
HECKTOR | 3D PET-CT, 882 Cases, 2 Categories of Tumor and Lymph Node | Grand Challenge | 2022-06 | MICCAI'2022 |
INSTANCE 2022 | 3D CT, 200 Cases, 1 Category of Intracranial Hemorrhage Segmentation | Grand Challenge | 2022-04 | MICCAI'2022 |
ISLES22 | 3D MRI, 400 Cases, 1 Category of Ischemic Stroke Lesion Segmentation | Grand Challenge | 2022-05 | MICCAI'2022 |
CuRIOUS2022 | 3D Ultrasound, 23 Cases, 1 Category of Brain Tumor (Resection) Segmentation | Grand Challenge | 2022-07 | MICCAI'2022 |
Teeth3DS | 3D IOS, 1800 Cases, 32 Categories of Teeth Segmentation | Github | 2022-10 | MICCAI'2022 |
TN3K | 2D Ultrasound, 3494 Cases, 1 Category of Thyroid Nodule Segmentation | Github | 2021-05 | ISBI'2021 |
TG3K | 2D Ultrasound, 3585 Cases, 1 Category of Thyroid Nodule Segmentation | Github | 2022-12 | ISBI'2021 |
HaN-Seg | 3D CT & MRI, 42 Cases, 30 Categories of Head and Neck Organs-at-Risk Segmentation | Grand Challenge | 2023-01 | - |
SMILE-UHURA 2023 | 3D 7T High Resoulution MRI, 14 Cases, 1 Category of Cerebral Artery Segmentation | Synapse | 2023-03 | ISBI'2023 |
ToothFairy | 3D CBCT, 443 Cases, 1 Category of Inferior Alveolar Nerve Segmentation | Grand Challenge | 2023-03 | MICCAI'2023 |
SegRap 2023 | 3D CT, 200 Cases, 47 Categories of Head and Neck Organs-at-Risk Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
CAS2023 | 3D MRI, 100 Cases, 1 Category of Cerebral Artery Segmentation | CodaLab | 2023-04 | MICCAI'2023 |
CrossMoDA 2023 | 3D MRI, 983 Cases, 3 Categories of Vestibular Schwannoma (VS) and Cochlea Segmentation | Project Homepage | 2023-04 | MICCAI'2023 |
UCSF-PDGM | 3D MR, 501 Cases, 4 Categories of Diffuse Glioma Segmentation | TCIA | 2023-04 | - |
IvyGAP-Radiomics | 3D MRI, 31 Cases, 3 Categories of Glioblastoma Segmentation | TCIA | 2023-04 | - |
BraTS2023-SSA | 3D MRI, 105 Cases, 3 Categories of Glioma Segmentation in Africa | Synapse | 2023-05 | ASNR-MICCAI'BRATS2023 |
BraTS2023-MEN | 3D MRI, 1650 Cases, 3 Categories of Meningioma Segmentation | Synapse | 2023-05 | ASNR-MICCAI'BRATS2023 |
BraTS2023-PED | 3D MRI, 228 Cases, 3 Categories of Pediatrics Glioma Segmentation | Synapse | 2023-05 | ASNR-MICCAI'BRATS2023 |
BraTS2023-MET | 3D MRI, 328 Cases, 3 Categories of Brain Metastasis Segmentation | Synapse | 2023-06 | ASNR-MICCAI'BRATS2023 |
BONBID-HIE | 3D MRI, 133 Cases, 1 Category of Hypoxic-Ischemic Encephalopathy (HIE) Lesion Segmentation | Grand Challenge | 2023-06 | MICCAI'2023 |
RHUH-GBM | 3D MR, 120 Cases, 3 Categories of Glioblastoma Segmentation | Project Homepage | 2023-06 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
CRASS12 | 2D X-Ray, 284 Cases, 1 Category of Clavicle Segmentation | Grand Challenge | 2012-12 | - |
MIAS | 2D X-ray, 322 Cases, 7 Categories of Breast Lesions Classification | Kaggle | 2015 | - |
LUNA16 | 3D CT, 888 Cases, 1 Category of Lung Nodule Detection | Grand Challenge | 2016-03 | LUNA16 |
Breast Ultrasound Dataset B | 2D Ultrasound, 163 Cases, 1 Category of Breast Lesions Detection | Project Homepage | 2018-06 | - |
FUMPE | 3D CT, 35 Cases, 1 Category of Pulmonary Embolism (PE) Segmentation | Figshare | 2018-09 | - |
StructSeg2019 Task3 | 3D CT, 50 Cases, 6 Categories of Lung Cancer Radiotherapy Organs-at-Risk Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
StructSeg2019 Task4 | 3D CT, 50 Cases, 1 Category of Organ-at-risk Fractionation for Radiotherapy for Lung Cancer Segmentation | Grand Challenge | 2019 | MICCAI'2019 |
SegTHOR | 3D CT, 60 Cases, 4 Categories of Thoracic Organs at Risk Segmentation | CodaLab | 2019-01 | ISBI'2019 |
MSD Lung Tumours | 3D CT, 96 Cases, 1 Category of Lung Tumor Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
LNDb | 3D CT, 294 Cases, 1 Category of Lung Nodule Segmentation | Grand Challenge | 2019-11 | ICIAR'2020 |
BUSI | 3D Ultrasound, 780 Cases, 3 Categories of Breast Tumor Segmentation | Project Homepage | 2019-11 | - |
PleThora | 3D CT, 402 Cases, 2 Categories of Pleural Effusion and Thoracic Segmentation | TCIA | 2020-04 | - |
SARS-COV-2 Ct-Scan | 2D CT, 2482 Cases, 2 Categories of Pneumonia Classification | Kaggle | 2020-05 | - |
COVID_CT_COVID-CT | 2D CT, 746 Cases, 2 Categories of Pneumonia Classification | Tianchi | 2020-06 | - |
COVIDGR | 2D X-Ray, 852 Cases, 2 Categories Pneumonia Classification | Github | 2020-12 | - |
COVID-19 CHEST X-RAY DATABASE | 2D X-ray, 3886 Cases, 3 Categories of Pneumonia Classification | Project Homepage | 2021-01 | - |
Chest CT-Scan images | 2D CT, 1000 Cases, 4 Categories of Lung Tumor Classification | Tianchi | 2021-03 | - |
COVID-19-CT SCAN IMAGES | 2D CT, 1400 Cases, 2 Categories of Pneumonia Classification | Tianchi | 2021-03 | - |
Chest X-ray PD Dataset | 2D X-Ray, 4575 Cases, 3 Categories of Pneumonia Classification | Project Homepage | 2021-04 | - |
Shenzhen chest X-ray set | 2D X-Ray, 662 cases, 2 Categories of Tuberculosis Classification | NIH | 2021-06 | - |
Chest X-Ray Imaging_(Pneumonia) | 2D X-ray, 5856 Cases, 2 Categories of Pneumonia Classification | Project Homepage | 2022-07 | - |
Parse 2022 | 3D CT, 200 Cases, 1 Category of Pulmonary Artery Segmentation | Grand Challenge | 2022-04 | MICCAI'2022 |
ATM22 | 3D CT, 500 Cases, 1 Category of Lung Airway Segmentation | Grand Challenge | 2022-05 | MICCAI'2022 |
MVSeg-3DTEE 2023 | 3D Ultrasound, 175 Cases, 2 Categories of Mitral Valve Segmentation | Synapse | 2023 | MICCAI'2023 |
TDSC-ABUS2023 | 3D Ultrasound, 200 Cases, 1 Category of Breast Tumor Detection, Segmentation and Classification | Grand Challenge | 2023-03 | MICCAI'2023 |
AIIB23 | 3D CT, 312 Cases, 1 Category of Lung Airway Segmentation | CodaLab | 2023-05 | MICCAI'2023 |
SEG.A. | 3D CTA, 56 Cases, 1 Category of Aorta Segmentation | Grand Challenge | 2023-05 | MICCAI'2023 |
LNQ 2023 | 3D CT, 513 Cases, 1 Category of Lymph Node Quantification | Grand Challenge | 2023-05 | MICCAI'2023 |
MedFM ChestDR 2023 | 2D X-Ray, 4848 Cases, 19 Categories of Chest Disease Classification | Grand Challenge | 2023-05 | NeurIPS'2023 |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
3D-IRCADB | 3D CT, 22 Cases, 40 Categories of Abdominal Organ and Tumor Segmentation | Project Homepage | 2010 | - |
BTCV | 3D CT, 50 Cases, 13 Categories of Abdominal Organ Segmentation | Synapse | 2015-04 | MICCAI'2015 |
BTCV Cervix | 3D CT, 50 Cases, 4 Categories of Abdominal Organ Segmentation | Synapse | 2015-04 | MICCAI'2015 |
LiTS | 3D CT, 201 Cases, 2 Categories of Liver and Tumor Segmentation | CodaLab | 2017-06 | ISBI'2017, MICCAI'2017 & 2018 |
MSD Pancreas Tumour | 3D CT, 420 Cases, 2 Categories of Pancreas and Tumour Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
MSD Hepatic Vessel | 3D CT, 443 Cases, 2 Categories Liver Blood vessels and Tumor Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
MSD Spleen | 3D CT, 61 Cases, 1 Category of Spleen Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
MSD Colon Cancer | 3D CT, 190 Cases, 1 Category of Colon Tumor Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
MSD Prostate | 3D MR, 48 Cases, 2 Categories of Prostate Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
KiTS19 | 3D CT, 300 Cases, 2 Categories of Kidney and Tumor Segmentation | Grand Challenge | 2019-03 | MICCAI'2019 |
CHAOS | 3D CT&MRI, 40 Cases, 4 Categories of Abdominal Organ Segmentation | Grand Challenge | 2019-04 | ISBI'2019 |
Pancreas-CT | 3D Contrast-enhanced CT, 80 Cases, 1 Category of Healthy Pancreas Segmentation | TCIA | 2020 | - |
KiTS21 | 3D CT, 400 Cases, 3 Categories of Kidney and Tumor Segmentation | Project Homepage | 2021-03 | MICCAI'2021 |
FLARE 2021 | 3D CT, 511 Cases, 4 Categories of Abdominal Organ Segmentation | Grand Challenge | 2021-05 | MICCAI'2021 |
AbdomenCT-1K | 3D CT, 1112 Cases, 4 Categories of Abdominal Organ Segmentation | Github | 2021-07 | - |
QUBIQ2021 | 3D CT, 90 Cases, 2 Categories of Pancreas and Lesions Segmentation | Grand Challenge | 2021-08 | MICCAI'2021 |
WORD | 3D CT, 150 Cases, 16 Categories of Abdominal Organ Segmentation | Github | 2021-11 | - |
FLARE 2023 | 3D CT, 2300 Cases, 13 Categories of Abdominal Organ Segmentation | Grand Challenge | 2022-03 | MICCAI'2022 |
UW-Madison GI Tract Image Segmentation | 2D MRI, 38496 Cases, 3 Categories of Gastrointestinal Tract Segmentation | Kaggle | 2022-04 | - |
KiPA22 | 3D CTA, 130 Cases, 4 Categories of Vessel and Tumor Segmentation | Grand Challenge | 2022-04 | MICCAI'2022 |
AMOS 2022 | 3D CT&MRI, 600 Cases, 15 Categories of Abdominal Organ Segmentation | Grand Challenge | 2022-05 | MICCAI'2022 |
PI-CAI | 3D MR, 1500 Cases, 1 Category of Prostate Tumor Segmentation | Grand Challenge | 2022-05 | - |
LLD-MMRI2023 | 3D MRI, 394 Cases, Liver Lesion Detection | Github | 2023-02 | MICCAI'2023 |
SPPIN | 3D MRI, 111 Cases, 1 Category of Pediatric Neuroblastoma Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
FLARE 2023 | 3D CT, 4500 Cases, 14 Categories of Abdominal Organ and Tumor Segmentation | CodaLab | 2023-04 | MICCAI'2023 |
KiTS23 | 3D CT, 599 Cases, 3 Categories of Kidney and Tumor Segmentation | Project Homepage | 2023-04 | MICCAI'2023 |
ATLAS (MICCAI2023) | 3D CE-MRI, 90 Cases, 2 Categories of Liver and Tumor Segmentation | Grand Challenge | 2023-04 | MICCAI'2023 |
MOOD2023 | 3D CT&MR, 1300 Cases, Out-of-Distribution Detection | Project Homepage | 2023-04 | MICCAI'2023 |
Adrenal-ACC-Ki67-Seg | 3D CT, 57 Cases, 1 Category of Pathologically Confirmed Adrenocortical Carcinoma Segmentation | TCIA | 2023-05 | - |
AbdomenAtlas 1.0 Mini | 3D CT, 5195 Cases, 9 Categories of Abdominal Organ Segmentation | Github | 2024-02 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
ACDC | 3D MRI, 150 Cases, 3 Categories of Left and Right Ventricles and Myocardial Segmentation | Project Homepage | 2017 | MICCAI'2017 |
MM-WHS | 3D CT/MRI, 120 Cases, 7 Categories of Heart Substructure Segmentation | Github | 2017 | MICCAI'2017 |
MSD Cardiac | 3D MRI, 30 Cases, 1 Category of Left Atrium Segmentation | MSD | 2019-02 | Medical Segmentation Decathlon |
M&Ms Cardiac CMR Segmentation | 3D MR, 375 Cases, 3 Categories of Left and right ventricles and myocardial segmentation | Project Homepage | 2020 | MICCAI'2020 |
MyoPS 2020 | 3D MRI, 45 Cases, 5 Categories of Myocardial Pathology Segmentation | Github | 2020-04 | MICCAI'2020 |
LAScarQS 2022 | 3D MRI, 194 Cases, 2 Categories of Left Atrium and Scar Segmentation | Github | 2022-04 | MICCAI'2022 |
CMRxMotion | 3D MRI, 360 Cases, 3 Categories of Heart Structure Segmentation | Synapse | 2022-05 | MICCAI'2022 |
ImageCAS | 3D CTA, 1000 Cases, 1 Category of Coronary Artery Segmentation | Github | 2023 | - |
CardiacUDA | 2D Ultrasound, 992 Cases, 5 Categories of Heart Structure Segmentation | Github | 2023-09 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
VerSe | 3D CT, 374 Cases, 26 Categories of Spine Segmentation | Github | 2020-05 | MICCAI'2019 & 2020 |
RibFrac 2020 | 3D CT, 660 Cases, 4 Categories of Rib Fracture Detection and Classification | Grand Challenge | 2020-06 | MICCAI'2020 |
CTPelvic1K | 3D CT, 1184 Cases, 4 Categories of Lumbar Spine, Sacrum, Left and Right Hip Segmentation | Github | 2020-12 | - |
CTSpine1K | 3D CT, 1005 Cases, 25 Categories of Spine Segmentation | Github | 2021-05 | - |
SPIDER | 3D MR, 544 Cases, 19 Categories of Spine, Intervertebral Disc, Spinal Canal Segmentation | Grand Challenge | 2023-06 | - |
Fractured Bone Detection | 3D CT, 24 Cases, 2 Categories of 2 Fractures Classification | Kaggle | 2023-06 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
CVC-ClinicDB | 2D, Endoscopy, 612 Cases, 1 Category of Colon Polyp Segmentation | Grand Challenge | 2015-02 | MICCAI'2015 |
AIDA-E2 | 2D Endoscopy, 262 Cases, 3 Categories of Digestive Tract Disease Classification | Grand Challenge | 2015-11 | ISBI'2016 |
Cholec80 Cholecystectomy Surgery Video Dataset | 2D Endoscopy, 370,168 Cases, 14 Categories of Surgical Action Types and Instrument Classification | Github | 2016-02 | - |
Colonoscopic | 2D Endoscopy, 152 Cases, 3 Categories of Gastrointestinal Lesions Classification | Project Homepage | 2016-09 | - |
The Nerthus Dataset | 2D Endoscopy, 5525 Cases, 4 Categories of Intestinal Cleansing Levels Classification | Project Homepage | 2017-06 | - |
Robotic Instrument Segmentation | 2D Endoscopy, 3000 Cases, 4 Categories of Surgical Instruments Segmentation | Grand Challenge | 2017-08 | MICCAI'2017 |
EAD 2019 | 2D Endoscopy, 2991 Cases, 7 Categories of Esophageal, Colon, Stomach, Bladder, Liver Segmentation | Grand Challenge | 2019-08 | - |
Kvasir-SEG | 2D Endoscopy, 1160 Cases, 1 Category of Colon Polyp Segmentation | Github | 2019-11 | - |
SARAS-ESAD | 2D Endoscopy, 33398 Cases, 21 Categories of Surgical Action Recognition | Grand Challenge | 2020-01 | - |
SUN Colonoscopy Video | 2D Endoscopy, 158,690 Cases, 1 Category of Polyp Segmentation | Project Homepage | 2020-07 | - |
Sinus Surgery Endoscopic Image Datasets | 2D Rhinoscopy, 9003 Cases, 1 Category of Surgical Instrument Segmentation | Github | 2020-08 | - |
EndoSLAM | 2D Endoscopy, 64577 Cases, 3D Reconstruction | Github | 2020-10 | - |
m2caiseg | 2D Endoscopy, 307 Cases, 19 Categories of Abdominal Organs and Surgical Equipment Segmentation | Kaggle | 2020-12 | MICCAI'2016 |
CholecSeg8k | 2D Endoscopy, 8080 Cases, 13 Categories of Cholecystectomy Surgery Semantic Segmentation | Kaggle | 2020-12 | - |
Kvasir-Capsule | 2D Endoscopy, 4741504 Cases, 14 Categories of Digestive Tract Lesion Segmentation | Project Homepage | 2021-05 | - |
FetReg 2021 Task1 | 2D Fetoscope, 2718 Cases, 3 Categories of Blood vessels, Fetus, Surgical Tools Segmentation | Synapse | 2021-07 | MICCAI'2021 |
LDPolypVideo | 2D Endoscopy, 861400 Slices, 1 Category of Polyp Detection | Github | 2021-09 | - |
EndoMapper | 2D Endoscopy Video, 59 Cases, 3D Reconstruction and VSLAM | Synapse | 2022-04 | - |
CholecT45 Dataset | 2D Endoscopy, 90489 Cases, 128 Categories of Cholecystectomy Surgery Action Recognition | Github | 2022-04 | - |
Surgical scene segmentation | 2D Endoscopy, 9156 Cases, 32 Categories of Surgery Scene Segmentation | Project Homepage | 2022-09 | - |
LIMUC | 2D Endoscopy, 11276 Cases, 4 Categories of Mayo Score Classification | Github | 2022-11 | - |
PitVis | 2D Endoscopy, 120024 Cases, 15 Categories of Workflow Identification in Endoscopic Pituitary Surgery | Project Homepage | 2023 | MICCAI'2023 |
Endoscopic Bladder Tissue Classification Dataset | 2D Endoscopy, 1754 Cases, 4 Categories of Cystoscopy Tissue Classification | Project Homepage | 2023-03 | - |
MedFM Endoscopy 2023 | 2D Endoscopy, 3865 Cases, 4 Categories of Colon Lesions Classification | Grand Challenge | 2023-05 | NeurIPS'2023 |
C3VD | 2D Endoscopy, 10015 Cases, 3D Reconstruction | Project Homepage | 2023-08 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
STARE | 2D Retinal Images, 20 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2000-03 | - |
DRIVE | 2D Retinal Images, 40 Cases, 1 Category of Fundus Blood Vessels Segmentation | Grand Challenge | 2004-04 | - |
CHASE | 2D Retinal Images, 28 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2011-06 | - |
DRiDB | 2D Retinal Images, 648 Cases, 3 Categories of Diabetic Retinopathy Classification | Project Homepage | 2013 | - |
RITE | 2D Retinal Images, 40 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2013 | - |
HRF | 2D Retinal Images, 45 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2013-12 | - |
Messidor-2 | 2D Retinal Images, 1748 Cases, 2 Categories of Diabetic Retinopathy Classification | Project Homepage | 2013 | - |
DRISHTI-GS | 2D Retinal Images, 101 Cases, 2 Categories of Optic Cup and Optic Disc Segmentation | Project Homepage | 2014 | - |
Retinal image quality assessment dataset | 2D Retinal Images, 216 Cases, 3 Categories of Image Quality Evaluation | Project Homepage | 2014-04 | - |
Retina | 2D Retinal Images, 601 Cases, 4 Categories of Cataracts, Glaucoma Retinopathy | - | 2016 | - |
Eyepacs | 2D Retinal Images, 35126 Cases, 5 Categories of Diabetic Retinopathy Grading | Project Homepage | 2016 | - |
RETOUCH | 3D OCT, 112 Cases, 3 Categories of Retinal Fluid Segmentation | Grand Challenge | 2017-04 | MICCAI'2017 |
LES-AV | 2D Retinal Images, 22 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2018 | - |
OCT 2017 | 2D OCT, 35126 Cases, 4 Categories of Eye Disease Classification | Github | 2018 | - |
Papilledema | 2D Fundus, 1369 Cases, 3 Categories of Papilledema Classification | Project Homepage | 2018 | - |
REFUGE | 2D Fundus, 1200 Cases, 2 Categories of Glaucoma Classification, 2 Categories of Optic Disc/Cup Segmentation | Grand Challenge | 2018-03 | MICCAI'2018 |
IDRID | 2D Retinal Images, 81 Cases, 5 Categories of Diabetic Retinopathy Segmentation | Grand Challenge | 2018-07 | ISBI'2018 |
PALM19 | 2D Retinal Images, 1200 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2019 | ISBI'2019 |
ACRIMA | 2D Retinal Images, 705 Cases, 2 Categories of Glaucoma Classification | Project Homepage | 2019-03 | - |
ROSE | 2D OCT, 229 Cases, 1 Category Fundus Blood Vessels Segmentation | Project Homepage | 2020 | - |
OCTA-500 | 2D OCT , 500 Cases, 1 Category of Fundus Blood Vessel Segmentation | Project Homepage | 2020-06 | - |
RIM-ONE DL | 2D Retinal Images, 485 Cases, 2 Categories of Glaucoma Classification and Optic Disc and Optic Cup Segmentation | Github | 2020-06 | - |
ORVS | 2D Retinal Images, 49 Cases, 1 Category of Fundus Blood Vessels Segmentation | Github | 2020-12 | - |
Diabetic Retinopathy Arranged | 2D Retinal Images, 35127 Cases, 5 Categories of Diabetic Retinopathy Classification | Project Homepage | 2021-03 | - |
iChallenge-ADAM-Task1 | 2D Retinal Images, 800 Cases, 2 Categories of Age-related Macular Degeneration (AMD) Classification | Grand Challenge | 2022 | ISBI'2020 |
Retinal OCT-C8 | 2D OCT, 24000 Cases, 8 Categories of Retinal Disease Classification | Kaggle | 2022-01 | - |
Multi-Label Retinal Diseases | 2D Retinal Images, 2451 Cases, 20 Categories of Eye Diseases Classification | Mendeley | 2022-07 | - |
FIVES | 2D Retinal Images, 800 Cases, 1 Category of Fundus Blood Vessels Segmentation | Project Homepage | 2022-08 | - |
ODIR-5K | 2D Retinal Images, 5000 Cases, 8 Categories of Common Ophthalmic Diseases Classification | Grand Challenge | 2023 | - |
RFMiD 2.0 | 2D Retinal Images, 3200 Cases, 45 Categories of Eye Disease Classification | Grand Challenge | 2023-01 | ISBI'2021 |
ToxoFundus | 2D Fundus Color Photos, 412 Cases, 2 Categories of Toxoplasmic Chorioretinitis Classification | Kaggle | 2023-06 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
PHยฒ | 2D Dermoscopic Images, 200 Cases, 2 Categories of Melanoma Segmentation | Project Homepage | 2015 | - |
MED-NODE | 2D Dermoscopic Images, 170 Cases, 2 Categories of Benign and Malignant Melanoma Classification | Project Homepage | 2015-07 | - |
ISIC 2017 | 2D Dermoscopic Images, 2750 Cases, 1 Category of Melanoma Segmentation | Project Homepage | 2017 | - |
ISIC 2020 | 2D Dermoscopic Images, 33126 Cases, 2 Categories of Benign and Malignant Melanoma Classification | Project Homepage | 2020 | - |
PED-UFES-20 | 2D Dermoscopic Images, 2298 Cases, 6 Categories of Dermatology classification | Mendeley | 2020-07 | - |
Fitzpatrick 17k | 2D Dermoscopic Images, 16577 Cases, 6 Categories of Fitzpatrick Skin Type, 114 Categories of Skin Condition | Github | 2021 | - |
Web-scraped Skin Image | 2D Dermoscopic Images, 804 Cases, 6 Categories of Dermatology Classification | Kaggle | 2022-08 | - |
Dataset | Description | Official Website | Release Date | Challenge |
---|---|---|---|---|
Corneal Nerve | 2D Microscopic Imaging, 90 Cases, 2 Categories of Corneal Abnormality Classification | Project Homepage | 2008-11 | - |
Malignant Lymphoma Classification | 2D Pathological Sections, 374 Cases, 3 Categories of Malignant Lymphoma Classification | Kaggle | 2010-07 | - |
Corneal Nerve Tortuosity | 2D Microscopic Imaging, 30 Cases, 3 Categories of Corneal Nerve Distortion Grade | Project Homepage | 2011-08 | - |
BioMediTech | 2D Cell Imaging, 1862 Cases, 4 Categories of Retinal Cell Classification | Project Homepage | 2016-02 | - |
GlaS | 2D Pathological Imaging, 165 Cases, 1 Category of Colorectal Gland Tissue Segmentation | Project Homepage | 2017 | MICCAI'2015 |
HuSHeM | 2D Microscopic Imaging, 216 Cases, 4 Categories of Sperm Classification | Mendeley | 2017-06 | - |
MoNuSeg | 2D Microscopic Imaging, 53 Cases, 1 Category of Nucleus Segmentation | Grand Challenge | 2017 | MICCAI'2018 |
PatchCamelyon | 2D Pathological Imaging, 327,680 Cases, 2 Categories of Breast Cancer Metastasis Classification | Project Homepage | 2018-06 | CAMELYON16 |
ICIAR 2018 BACH Task1 | 2D Histology Imaging, 400 Cases, 4 Categories of Breast Cancer Classification | Grand Challenge | 2018-08 | ICIAR'2018 |
ICIAR 2018 BACH Task2 | 2D Histology Imaging, 30 Cases, 3 Categories of Breast Cancer Segmentation | Grand Challenge | 2018-08 | ICIAR'2018 |
CORN | 2D Microscopic Imaging, 1698 Cases, 1 Category of Corneal Nerve Segmentation | Project Homepage | 2019 | - |
DigestPath2019 | 2D Pathological Imaging, 250 Cases, 1 Category of Digestive System Pathology Segmentation and Detection | Grand Challenge | 2019 | MICCAI'2019 |
Leukemia | 2D Microscopic Imaging, 1867 Cases, 2 Categories of Leukemia Cell Classification | Kaggle | 2019 | - |
ICPR-HEp-2 | 2D Cell Fluorescence Microscopy Imaging, 14K, 6 Categories of Cell Classification | Project Homepage | 2019-02 | - |
Complete Blood Count | 2D Blood Smear, 360 Cases, 3 Categories of Blood Cell Count | Github | 2019-07 | - |
LC25000 | 2D Pathological Imaging, 25000 Cases, 5 Categories of Pathological Image Classification | Github | 2020-01 | - |
PanNuke | 2D Pathology, 7904 Cases, 6 Categories of Nuclear Segmentation | Project Homepage | 2020-03 | - |
SICAPv2 Prostate Pathology Segmentation Dataset | 2D Pathological Imaging, 18783 Cases, 4 Categories of Prostate Cancer Grade | Mendeley | 2020-07 | - |
ANHIR | 2D Pathological Imaging, 481 Cases, Pathological Image Lung Lobes and Breast Tissue Registration | Grand Challenge | 2020-07 | ISBI'2019 |
CoCaHis | 2D Pathological Imaging, 82 Cases, 2 Categories of Colon Cancer Tissue Segmentation | Project Homepage | 2021-01 | - |
Malaria Cell Images | 2D Microscopic Imaging, 27558 Cases, 2 Categories of Malaria Classification | Project Homepage | 2021-03 | - |
Bone Marrow Cytomorphology | 2D Pathological Imaging, 171,375 Cases, 21 Categories of Bone Marrow Cell Morphological Classification | Project Homepage | 2021-11 | - |
Chaoyang | 2D Pathological Imaging, 6160 Cases, 4 Categories of Colonic Lesions Classification | Github | 2021-11 | - |
CoNIC2022 | 2D Pathological Imaging, 4981 Cases, 7 Categories of Nuclei within Tissues Segmentation | Grand Challenge | 2022 | ISBI'2022 |
NeurIPS 2022 Cell Seg | 2D Microscopic Imaging, 3022 Cases, 1 Category of Cell Instance Segmentation | Grand Challenge | 2022-06 | NeurIPS'2022 |
BRACS | 2D Pathological Imaging, 4539 ROIs/547 WSIs, 7 Categories of Breast Cancer Subtype Classification | Project Homepage | 2022-10 | - |
BCI | 2D Pathological Imaging, 4870 Cases, 4 Categories to convert HE images to IHC images | Project Homepage | 2023-04 | - |
MedFM Colon 2023 | 2D Pathological Imaging, 10009 Cases, 2 Categories of Colon Tumor Classification | Grand Challenge | 2023-05 | NeurIPS'2023 |
KPIs | 2D Pathological Imaging, 10428 Patches, 1 Category of Glomerular Tissue Segmentation | Project Homepage | 2024-03 | MICCAI'2024 |
Dataset | Description | Official Website | Release Date |
---|---|---|---|
IU-Xray | RG, 7,470 Frontal or Lateral Chest X-ray Images, with 3,955 Corresponding Reports | PaperWithCode | 2016 |
VQA-RAD | VQA, 3515 Cases QA Pair | Project Homepage | 2018-11 |
ImageClef-2019-VQA-Med | VQA, 15292 Cases QA Pair | Project Homepage | 2019-09 |
PathVQA | VQA, 32799 Cases QA Pair | Grand Challenge | 2020-03 |
MedICaT | VQA, 217060 Cases QA Pair | Github | 2020-12 |
SLAKE | VQA, 14028 Cases QA Pair | Project Homepage | 2021-02 |
Montgomery County CXR Set | 2D X-Ray, 138 Cases, 2 Categories of CXR Image Abnormality Diagnosis | Project Homepage | 2021-06 |
MMMU Health&Medicine | VQA, 1752 Cases QA Pair | Mendeley | 2022-07 |
PMC-OA | VQA, 1.6M QA Pair | Project Homepage | 2023-03 |
PMC-VQA | VQA, 227K Cases | Github | 2023-05 |
Quilt-1M | Caption, 768826 Cases | Project Homepage | 2023-06 |
ROCOV2 | Caption, 80080 Cases Image-Caption Pair | Zenodo | 2023-11 |
RP3D-Caption | Caption, 69523 Cases Image-Caption Pair | Project Homepage | 2023-11 |
PMC-Inline | Caption, 11,000,000 Images | Hugginface | 2023-11 |
CT-RATE | Caption, 47149 Cases | Hugginface | 2024-03 |
Dataset | Description | Official Website | Release Date |
---|---|---|---|
LiveQA | QA, 634 Cases QA Pair | Github | 2017 |
cMedQA v2.0 | QA, 108K Cases QA Pair | Github | 2018-12 |
webMedQA | QA, 63,284 Cases QA Pair | Github | 2019 |
PubMedQA | QA, 1000 Cases Expert annotation QA Pair | Project Homepage | 2019 |
MedDialog-CN | QA, 1.1M Cases QA Pair | Github | 2020-07 |
MedQA | QA, 61,097 Cases QA Pair | Github | 2020-09 |
Chinese Medical Dialogue Dataset | QA, 792K Cases QA Pair | Project Homepage | 2021-02 |
MedMCQA | QA, 193,155 Cases QA Pair | Project Homepage | 2022-03 |
Huatuo-26M | QA, 26M Cases QA Pair | Github | 2023-05 |
HealthSearchQA | QA, 3173 Cases QA Pair | Paper | 2023-07 |
CMB | QA, 270K Cases QA Pair | Github | 2023-08 |
ShenNong-TCM-Dataset/EB | QA, 113K Cases QA Pair | Github | 2023-08 |
CMExam | QA, 68K Cases QA Pair | Github | 2023-10 |
MedBench | QA, 113K Cases QA Pair | Project Homepage | 2023-12 |