Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
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Updated
Jul 31, 2024 - Python
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.
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Towards a general-purpose foundation model for computational pathology - Nature Medicine
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Powerful, open-source AI tools for digital pathology.
Ressources of histopathology datasets
A vision-language foundation model for computational pathology - Nature Medicine
cGAN-based Multi Organ Nuclei Segmentation
AI-based pathology predicts origins for cancers of unknown primary - Nature
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Stain normalization tools for histological analysis and computational pathology
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
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