Pinned Repositories
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
TomHardy1997's Repositories
TomHardy1997/9componentsStad
A nine-component prediction model for gastric cancer
TomHardy1997/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, ... 🧠
TomHardy1997/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
TomHardy1997/deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
TomHardy1997/E2EPRO
胃癌病理预后初期代码
TomHardy1997/GCTC
Prediction of Gastric Cancer Tissue Components
TomHardy1997/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。
TomHardy1997/HistoBistro
Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)
TomHardy1997/Image-Cleaning
This repository is created to contain code that could be used to pre- and post-process histology images.
TomHardy1997/nmi-wsi-diagnosis
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
TomHardy1997/pathology-hooknet
TomHardy1997/PathologyDrugCode
药物病理代码
TomHardy1997/PathOmicFinger
This is test version
TomHardy1997/PathomicFusion
Fusing Histology and Genomics via Deep Learning - IEEE TMI
TomHardy1997/PORPOISE
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
TomHardy1997/python-wsi-preprocessing
Python Whole Slide Image Preprocessing
TomHardy1997/remote-test
TomHardy1997/SCI_GC_OS
第一篇sci的代码整理放在这里
TomHardy1997/SCI_GC_OS_309
309训练代码在这里
TomHardy1997/Stad_50_Prognosis
###端到端胃癌代码
TomHardy1997/STAD_code
69上面的code
TomHardy1997/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
TomHardy1997/TEA-graph
First commit
TomHardy1997/test
TomHardy1997/ThyUS2Path
Pathological diagnosis of thyroid nodules directly from ultrasonography by a weakly supervised deep learning framework
TomHardy1997/UNI
Towards a general-purpose foundation model for computational pathology - Nature Medicine
TomHardy1997/vimplus
:rocket:An automatic configuration program for vim
TomHardy1997/ViT-WSI-repo
TomHardy1997/Wsi_Omic_Finger
这是多模态学习的初始版本