aetherAI / hms2
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.
☆25Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for hms2
- This repository provides scripts to reproduce the results in the paper "An annotation-free whole-slide training approach to pathological …☆62Updated 2 years ago
- MOMA☆47Updated 7 months ago
- StarDist PyTorch☆41Updated 2 years ago
- ☆13Updated last year
- ☆33Updated 3 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆75Updated last year
- The official implementation of GPFM☆39Updated 3 weeks ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 3 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆76Updated last year
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆17Updated 2 months ago
- RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]☆52Updated last year
- This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples…☆34Updated last year
- Interactive Segmentation of Nucleus☆60Updated last year
- The source code of 'Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring' …☆24Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆45Updated 2 years ago
- A bayesian collaborative learning framework for whole-slide image classification☆24Updated 11 months ago
- Nuclei segmentation and classification (Cancer cells)☆22Updated 5 months ago
- Evaluation code for the PanNuke dataset☆25Updated 4 years ago
- Repository for "SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology" (MedAGI2023, MICCAI2023 workshop)☆29Updated last month
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆27Updated 5 months ago
- CoNIC Challenge☆59Updated 8 months ago
- The ‘Cancer-Prognosis-Analysis’ aims to provide prognosis-related codes for further studies. ALL of them are used just for research, but …☆12Updated 3 months ago
- CVPR 2023 Highlight☆76Updated 7 months ago
- ☆49Updated 2 years ago
- ☆36Updated last year
- (NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality …☆141Updated 7 months ago
- Self-supervised nuclei segmentation (MICCAI 2020)☆41Updated 3 years ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated last year
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆62Updated 2 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆124Updated 3 years ago