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-segmentation-pipeline

3d-dilated-u-net

This study aimed to develop a 3D U-net-based, fully automatic masseter muscle segmentation on magnetic resonance images.

3d-mri-brain-tumour-image-segmentation-medical-decathlon-tensorflow

Code repository for training a brain tumour U-Net 3D image segmentation model using the 'Task1 Brain Tumour' medical segmentation decathlon challenge dataset.

3d-unet-keras-lung-lobes-segmentation

3d_ivd_seg

3d_neural_net

3dux-net

abdomenatlas

[NeurIPS 2023] AbdomenAtlas

abdomenquant

Dual DLNs to determine L3 location from CT scan and quantify useful data

advaced_ml

ai-for-healthcare

Udacity AI for Healthcare Nano Degree

ai-for-healthcare-nanodegree

Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.

ai-for-medicine-specialization-coursera

About this Specialization .. AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the Deep Learning Specialization.

ai_postgraduate_project

assignment

프로젝트

atlas-r2.0---stroke-lesion-segmentation

ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

automatic-cascoring-from-chest-ct

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

biapy

Deep Learning based pipelines for bioimage data analysis

bios2

Biostatistics 621 / 821

brain-tumor-detection-and-segmentation-using-convolutional-neural-networks

brain-tumor-segmentation

brainhack_padova_2020

brainsegnet3d

Convolutional Neural Network for 3D Brain Segmentation

brats18-challege

Multimodal Brain Tumor Segmentation Challenge 2018

cartilage_segmentation

cerebrum7t

Code for the paper "CEREBRUM-7T: fast and fully-volumetric brain segmentation of 7 Tesla MR volumes"

cfcn_test_inference

BBM/Cascaded-FCN offshoot -- Test inference on new CT liver images. Thin Python wrapper for Caffe 1.0.0 GPU. Supports input directory of dicom files or complete path to NIfti1 format file.

chexpert-multilabel-classification-tensorflow

Code repository for training multi-label classification models on the CheXpert Chest X-ray dataset.