aetherAI / hms2Links
Another annotation-free whole-slide training approach to pathological classification. This repository provides scripts to reproduce the results in the paper "Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings", including model training, inference, visualization, etc.
☆27Updated 2 years ago
Alternatives and similar repositories for hms2
Users that are interested in hms2 are comparing it to the libraries listed below
Sorting:
- This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …☆62Updated 3 years ago
- This library is designed to speed up huge model training on unified memory.☆28Updated 3 years ago
- Histology Self-Supervised Learning☆15Updated 2 years ago
- MOMA☆53Updated last year
- GPU-accelerated stain normalization command line tool☆21Updated last year
- Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning" (MICCAI 2022)☆28Updated 2 years ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆66Updated 2 years ago
- ☆37Updated 3 years ago
- The ‘Cancer-Prognosis-Analysis’ aims to provide prognosis-related codes for further studies. ALL of them are used just for research, but …☆11Updated 3 weeks ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆80Updated 2 years ago
- ☆35Updated 2 years ago
- A bayesian collaborative learning framework for whole-slide image classification☆25Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆54Updated last year
- Repository for the Giga-SSL paper☆24Updated 7 months ago
- RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]☆54Updated 2 years ago
- ☆55Updated 3 years ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆30Updated last year
- ☆61Updated 8 months ago
- Histopathology Image Analysis☆92Updated last year
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆56Updated 3 months ago
- Inference code for HoVer-NeXt☆35Updated last month
- The official implementation of GPFM☆61Updated last week
- ☆45Updated 2 years ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆90Updated 6 months ago
- ☆11Updated last year
- Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Cla…☆34Updated last year
- ☆21Updated 2 months ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆102Updated 6 months ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆55Updated last year
- Don't mix, match! Simple utilities for improved registration of Histopathology Whole Slide Images.☆11Updated 4 years ago