13 citations · 14 across the 4 of their papers we have counts for
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cs.CV2026
A Concept-informed Interpretable Artificial Intelligence Framework for Breast Ultrasound Diagnosis
Shengzhou Zhong, Ziying Wang, Liang Li +14
Most existing artificial intelligence systems for breast ultrasound rely primarily on image-driven prediction, with limited incorporation of the knowledge from the Breast Imaging R…
cs.CV2026
TRACE: Training-time Report-guided and Clinically Ordered Concept Editing
Wentao Yue, Tianyou Lai, Jiayu Luo +4
Breast ultrasound diagnosis relies on clinically meaningful semantic concepts, yet most deep learning methods adopt end-to-end image-to-label paradigms that lack interpretability a…
cs.CV2025
DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis
Chao Tu, Kun Huang, Jie Zhang +3
The burgeoning discipline of computational pathology shows promise in harnessing whole slide images (WSIs) to quantify morphological heterogeneity and develop objective prognostic…