[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
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Updated
Sep 8, 2024 - Python
[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis
[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
This repository contains some comprehensive approaches for the purpose of classifying breast cancer tissue using whole slide images (WSIs).
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags in ECAI2024.
A demonstration script for analyzing cell density in whole slide images (WSIs). This repository accompanies the article published on daangeijs.nl. The demo showcases how to compute cell density in detected tumor regions using WholeSlideData and GeoPandas.
Blood Vessel Instance Segmentation in Human Kidney Histology Slides: A Repository for Comprehensive Whole-Slide Image Analysis
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