Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification

Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification

Abstract Digital medical imaging, particularly pathology images, is essential for cancer diagnosis but faces challenges in direct model training due to its super-resolution nature. Although weakly supervised learning has reduced the need for manual annotations, many multiple instance learning (MIL)...

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Bibliographic Details
Main Authors: Bin Yang, Lei Ding, Jianqiang Li, Yong Li, Guangzhi Qu, Jingyi Wang, Qiang Wang, Bo Liu
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Complex & Intelligent Systems
Subjects:
Weakly supervised training
Image classification
Multiple instance learning
Online Access:https://doi.org/10.1007/s40747-025-01779-y
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