Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification

Yunlong Zhang; Honglin Li; Yunxuan Sun; Sunyi Zheng; Chenglu Zhu; Yang Lin

doi:10.1007/978-3-031-73668-1_8

ScienceGate Book Chapters

BOOK-CHAPTER

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification

Yunlong Zhang Honglin Li Yunxuan Sun Sunyi Zheng Chenglu Zhu Yang Lin

Year: 2024 Lecture notes in computer science Pages: 125-143 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-73668-1_8

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Contextual image classification Image (mathematics) Pattern recognition (psychology) Machine learning Computer vision

Metrics

Cited By

23.46

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification

Metrics

Citation History

Topics

Related Documents

Neighborhood attention transformer multiple instance learning for whole slide image classification

Dual-Attention Multiple Instance Learning Framework for Pathology Whole-Slide Image Classification

Pseudo-label attention-based multiple instance learning for whole slide image classification

Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification

PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification