QuPath - Bioimage analysis & digital pathology
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Updated
Aug 17, 2024 - Java
QuPath - Bioimage analysis & digital pathology
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Tools for computational pathology
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Tools for tissue image stain normalisation and augmentation in Python 3
Towards a general-purpose foundation model for computational pathology - Nature Medicine
Powerful, open-source AI tools for digital pathology.
A vision-language foundation model for computational pathology - Nature Medicine
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 🚀
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
⚡ Open-source software for deep learning-based digital pathology
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Stain normalization tools for histological analysis and computational pathology
HEST: Bringing Spatial Transcriptomics and Histopathology together
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)
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
Cytomine-Core is the main web server implementing the Cytomine API
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
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