DIAGNijmegen / pathology-whole-slide-data
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
☆93Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for pathology-whole-slide-data
- Histopathology Image Analysis☆91Updated last year
- ☆49Updated 2 years ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆44Updated 2 weeks ago
- List of pathology feature extractors and foundation models☆58Updated last week
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆49Updated last year
- Pipeline for computational pathology☆34Updated 10 months ago
- ☆53Updated last month
- ☆36Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆126Updated 6 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆64Updated 9 months ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- Stain normalization tools for histological analysis and computational pathology☆118Updated 7 months ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆46Updated 2 years ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆74Updated 8 months ago
- Code for the paper Unsupervised Nuclei Segmentation using Spatial Organization Priors.☆11Updated last year
- Quality control of whole-slide images through multi-class semantic segmentation of artifacts☆28Updated 9 months ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆127Updated 3 years ago
- Pretrained model for self supervised histopathology☆108Updated 2 years ago
- Histopathology Slides Preprocessing Pipeline☆32Updated 2 months ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆27Updated 6 months ago
- Solid Tumor Associative Modeling in Pathology☆47Updated 2 months ago
- Whole Slide image (WSI) conversion for brightfield histology images☆33Updated this week
- Tools to build deep learning pipelines.☆85Updated last week
- ☆43Updated last year
- ☆12Updated 2 months ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆28Updated 2 years ago
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆95Updated 2 months ago
- Interactive Segmentation of Nucleus☆61Updated last year
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 4 months ago