deepmd-cancer Goto Github PK

abdomen-ct-image-segmentation

The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.

bcd_yolox

bigmhc

BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity

bisweb

This is the repository for the BioImage Suite Web Project

brainchop

Brainchop.org: In-browser 3D MRI segmentation

cancerreportingtemplate

CAP cancer reporting templates

colonoscopy-polyps-detection-with-cnns

Colonoscopy polyps detection with CNNs

crane

Deep Learning-based Assessment of Endomyocardial Biopsies

dblurdosenet

PyTorch implementation of DblurDoseNet

deep_learning_inference_browser

Shows an example how to train a keras model for brain lesion segmentation and how to use keras.js to run the inference path in the browser

dl-mechanical-thrombectomy

Creating a CNN to assist in the prediction of mechanical thrombectomy outcomes on patients with acute ischemic stroke.

epla

glass-ai

Machine learning tool for analysis of lung adenocarcinoma tumors

gleason

My code using PSPNet for MICCAI Gleason Challenge 2019

grandcc

h2g-net

⚡ H2G-Net for Semantic Segmentation of Histopathological Images

headctsegmentation

Multi-class U-Net for head CT segmentation

hecktor

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

livermask

Package for automatic liver segmentation in CT using a trained deep learning model.

lung-cancer-diagnosis

Diagnosis of histologic growth patterns of lung cancer in digital slides using deep learning.

lung-tumor-classification

Classification of histopathology images to identify tumor types.

lungtumormask

Automatic end-to-end lung tumor segmentation from CT images.

madvk

Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics.

medomics_natcancer

ngs-qr-app-client

NGS Quality Reporting App

nnunet

My nnUNet fork with minor modification and Docker image for MICCAI StructSeg challenge and VerSe challenge.

nnunetdocker

paccmann_predictor

PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction

pns-net

2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation