There are 2 repositories under histology topic.
A Python toolkit for pathology image analysis algorithms.
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
AI-based pathology predicts origins for cancers of unknown primary - Nature
Axon/Myelin segmentation using Deep Learning
The official deployment of the Digital Slide Archive and HistomicsTK.
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
HEST: Bringing Spatial Transcriptomics and Histopathology together
A pipeline to segment tissue from the background in histological images
A Girder plugin for pathology image annotations and analysis.
RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
Dataset: landmarks for registration of histology images
Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
Code used to create the DeepHistReg submission to the ANHIR challenge.
a toolbox for manipulation of digital pathology slides and annotations
Graph + Image Bimodal Deep Learning for Histology Image Classification
A .NET microscopy imaging application based on Bio library. Supports various microscopes by using imported libraries & GUI automation. Supports XInput game controllers to move stage, take images, run ImageJ macros on images or Bio C# scripts.
Approach that won 3rd place in the OCELOT 2023 Challenge. Multi-organ H&E-based deep learning model for cell detection, applicable for tumor cellularity/ purity/ content estimation.
This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"
Segmentation of histological images and fibrosis identification with a convolutional neural network
A virtual slide viewer (virtual microscope) for extremely high-resolution histopathology images. Made with Python, Flask and Leaflet.
slideToolkit: a free toolset for analyzing wholeslide high-resolution digital histological images.
Histology Image Viewer and Converter
My project for the national ai competition in Germany 2023