9 citations · 20 across the 7 of their papers we have counts for
Showing 2023 · cs.CVShow all
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cs.CV2023★ 4 cited
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Litao Yang, Deval Mehta, Sidong Liu +3
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis and clinical practice. Due to the high resolution of the WSI and the unavailability of pat…
cs.CV2023★ 9 cited
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash +5
Whole Slide Images (WSIs) or histopathology images are used in digital pathology. WSIs pose great challenges to deep learning models for clinical diagnosis, owing to their size and…