IEEE

Disentangled Pseudo-Bag Augmentation for Whole Slide Image Multiple Instance Learning

Abstract: As the predominant approach for pathological whole slide image (WSI) classification, multiple instance learning (MIL) methods struggle with limited labeled WSIs. Although MIL has achieved ...
IEEE

Unleash the Power of State Space Model for Whole Slide Image With Local Aware Scanning and Importance Resampling

Abstract: Whole slide image (WSI) analysis is gaining prominence within the medical imaging field. However, previous methods often fall short of efficiently processing entire WSIs due to their ...
GitHub

Accessible and interoperable whole slide image analysis

LazySlide is a Python framework for whole slide image (WSI) analysis, designed to integrate seamlessly with the scverse ecosystem. By adopting standardized data structures and APIs familiar to the ...
GitHub

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

This work is supported by the National Natural Science Foundation of China (NSFC) under Grant No.62476049. Some parts of codes in this repo are adapted from the following amazing works. We thank the ...