17 citations · 30 across the 12 of their papers we have counts for
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cs.CV2024★ 6 cited
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou, Sicen Liu, Yequan Bie +4
The increasing demand for transparent and reliable models, particularly in high-stakes decision-making areas such as medical image analysis, has led to the emergence of eXplainable…
cs.CV2024★ 17 cited
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
Cheng Jin, Luyang Luo, Huangjing Lin +2
Fine-grained classification of whole slide images (WSIs) is essential in precision oncology, enabling precise cancer diagnosis and personalized treatment strategies. The core of th…
cs.CV2024★ 2 cited
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
Hongmei Wang, Junlin Hou, Hao Chen
Models based on human-understandable concepts have received extensive attention to improve model interpretability for trustworthy artificial intelligence in the field of medical im…