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Interactive Multiple Instance Learning Network for Whole Slide Image Analysis
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DOI：10.1016/j.eswa.2025.129338.png)
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Abstract
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• Introduces iMIL (Interactive Multiple Instance Learning) for Whole Slide Image (WSI) classification, which can integrates both visual patterns and clinical textual information • iMILcan better handle of weak supervision scenarios, improve ability to identify diagnostically crucial regions, and effective integrate of multi-modal information. • This article presents a significant advancement in WSI analysis by combining multiple innovative approaches and demonstrating clear performance improvements over existing methods.
Keywords:
iMIL
Whole Slide Image
weak supervision
multi-modal integration
diagnostic regions
Journal
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7.5
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3.0W
Citations:
10.2W
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Cited Papers
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