histopathology-images topic
deepslide
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...
CAC-UNet-DigestPath2019
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/zhuchua...
Augmentation-PyTorch-Transforms
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
hsn_v1
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
Foveation-Segmentation
PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
HSA-NRL
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
fast-stain-normalization
:star2: GPU-accelerated stain normalization command line tool
Histopathology-Datasets
Ressources of histopathology datasets
UNITOPATHO
Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
kat
The code for Kernel attention transformer (KAT)