Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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Updated
Apr 29, 2024 - Python
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
QuPath - Bioimage analysis & digital pathology
Tools for tissue image stain normalisation and augmentation in Python 3
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Tools for computational pathology
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Cytomine-Core is the main web server implementing the Cytomine API
Towards a general-purpose foundation model for computational pathology - Nature Medicine
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
⚡ Open-source software for deep learning-based digital pathology
Stain normalization tools for histological analysis and computational pathology
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
A pipeline to segment tissue from the background in histological images
Whole Slide Digital Pathology Image Tissue Localization
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀
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