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".

PyTorch implementation of DEC (Deep Embedding Clustering)

A simple implementation of paper: Uninformed Students: Student–Teacher Anomaly Detection with Discriminative Latent Embeddings.

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Contains codes of DeepAttnMISL in MEDIA'20

Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology

Stain normalization parameters used in the paper "F. Ciompi et al., The importance of stain normalization in colorectal tissue classification with convolutional networks, ISBI 2017"

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Code, documentation, and discussion around the MIMIC-CXR database

Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Full package for applying deep learning to virtual slides.

Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).

Awesome artificial intelligence in cancer diagnostics and oncology

A Collection of Variational Autoencoders (VAE) in PyTorch.

My keras implementation of the paper "Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier"

Stain normalization tools for histological analysis and computational pathology

H&E histopathological staining normalization

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A set of codes to classify H&E slides using deep learning

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

Pan-cancer tils analysis study by Hongming Xu

TCGA BLCA tmb prediction by Hongming Xu