Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images

The code for Kernel attention transformer (KAT)

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images (WACV 2023)

The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.

Dataset Link

The code for LAGE-Net

🌟 GPU-accelerated stain normalization command line tool

Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples

Implementation of "Synthetic Data Generation and Classification of Histopathological Images"

Breast Cancer Image Classification On WSI With Spatial Correlations https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Code for "Difficulty Translation in Histopathology Images" full paper at Artificial Intelligence in Medicine (AIME) 2020.

Deep-learning based classification pipeline for subtyping lung tumors from histology. Study design and codebase to analyze the impact of nucleus segmentation on subtyping.

Official Repository for "Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN"

The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.