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3d_gmic

3D-GMIC: an efficient deep neural network to find small objects in large 3D images

acute-stroke_detection_segmentation

adam2020

Solution to MICCAI 2020 ADAM

aimapi

The AIM 4.0 API

aimapi-js

aimconvert

aisd

Acute Ischemic Stroke Diagnosis using Deep Learning based on CT image

breast_cancer_diagnosis

Development of deep learning tool to classify breast cancer images from CBIS-DDSM, INBreast and MIAS databases.

cancerrisknet

cbis_ddsm_dataloader

colonsegnet

Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)

crane

Deep Learning-based Assessment of Endomyocardial Biopsies

deep_learning_pca

dicom-web-app-viewer-based-react

React & React Native

dlaais

This is a deep learning processing pipeline with embeded ATLAS for acute ischemic stroke management.

end2end-all-conv

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

epad-common

Code used by both client and server components in ePAD, e.g., plugin mechansim

epad-dist

epad-ws

ePAD Web Service

epadjs

epadlite

fastai-colon-polyps

Classification of polyps in colonoscopy images using Fastai deep learning

frcnn_cad-mammo-winner

Computer aided detection using Faster-RCNN

gancer

Generative Adversarial Networks for Computationally Efficient Radiotherapy

gastrovision

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing

gleason

My code using PSPNet for MICCAI Gleason Challenge 2019

gleason_grade

Code for gleason grading a whole slide in 1 minute or less

gmic

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

hccsurvnet

hn_unet_autosegmentation_tool

Accessible tool for using U-Net to run automatic segmentation on head and neck CT images