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9componentsstad

A nine-component prediction model for gastric cancer

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

e2epro

胃癌病理预后初期代码

gctc

Prediction of Gastric Cancer Tissue Components

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

histobistro

Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)

image-cleaning

This repository is created to contain code that could be used to pre- and post-process histology images.

nmi-wsi-diagnosis

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

pathology-hooknet

pathologydrugcode

药物病理代码

pathomicfinger

This is test version

pathomicfusion

Fusing Histology and Genomics via Deep Learning - IEEE TMI

porpoise

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

python-wsi-preprocessing

Python Whole Slide Image Preprocessing

remote-test

stad_50_prognosis

###端到端胃癌代码

swintransformer_prognosis

使用SwinTransformer自训练一个特征提取器，然后提取WSI特征进行下游任务

tea-graph

First commit

test

thyus2path

Pathological diagnosis of thyroid nodules directly from ultrasonography by a weakly supervised deep learning framework

wsi_omic_finger

这是多模态学习的初始版本