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 ...
IEEE

Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-Based Multiple Instance Learning

Abstract: In many histopathology tasks, sample classification depends on morphological details in tissue or single cells that are only visible at the highest magnification. For a pathologist, this ...

Children heard screaming for help after giant landslide buries campsite in New Zealand

Several campers, including children, are feared to be buried in rubble after a huge landslide destroyed a holiday campsite in ...
IEEE

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher

Abstract: Multiple Instance Learning (MIL) has demonstrated promise in Whole Slide Image (WSI) classification. However, a major challenge persists due to the high computational cost associated with ...