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3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

aided-diagnosis-system-for-cervical-cancer-screening

auto_lymph

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

colonoscopy_tissue_screen_and_segmentation

cyberbrain

Python debugging, redefined.

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deeppath

Classification of Lung cancer slide images using deep-learning

dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

download_tcga_gdc

Travel the TCGA dir, and run gdc-client to download specific data

dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

flower-pollination-algorithm

hybridsupervisionlearning_pathology

Public code for Hybrid Supervision Learning for Pathology Whole Slide Image Classification, MICCAI2021

math-model-and-machine-learning

mcat

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021

medical-data

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

ms-da-mil-cnn

PyTorch implementation of MS-DA-MIL

radiopathomics-pcr-ncrt

Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior to nCRT [Plan B]

tcga_segmentation

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

whole-slide-cnn

This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological classification of lung cancer types by deep learning".

wsi-finetuning

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.