Weakly supervised histopathology image segmentation with self-attention

Kailu Li; Ziniu Qian; Yingnan Han; Eric Chang; Bingzheng Wei; Maode Lai; Jing Liao; Yubo Fan; Yan Xu

doi:10.1016/j.media.2023.102791

ScienceGate Book Chapters

JOURNAL ARTICLE

Weakly supervised histopathology image segmentation with self-attention

Kailu Li Ziniu Qian Yingnan Han Eric Chang Bingzheng Wei Maode Lai Jing Liao Yubo Fan Yan Xu

Year: 2023 Journal: Medical Image Analysis Vol: 86 Pages: 102791-102791 Publisher: Elsevier BV

DOI: 10.1016/j.media.2023.102791

Get Full-Text PDF Get Analytical Report

Keywords:

Histopathology Artificial intelligence Segmentation Computer science Pattern recognition (psychology) Image segmentation Pixel Digital pathology Computer vision Pathology Medicine

Metrics

Cited By

13.79

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Weakly supervised histopathology image segmentation with self-attention

Metrics

Citation History

Topics

Related Documents

Self-supervised Histopathology Image Segmentation Using Transformer Networks with Attention Mechanism

Weakly Supervised Histopathology Image Segmentation With Sparse Point Annotations

Weakly supervised histopathology cancer image segmentation and classification

Weakly Supervised Food Image Segmentation using Attention

FCAformer: Fuzzy-Enhanced Class-Aware Attention Based Transformer for Weakly Supervised Histopathology Image Segmentation