3 papers
cs.LG2026
SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery
Sahar Almahfouz Nasser, Juan Francisco Pesantez Borja, Jincheng Liu +15
Engineered image-based biomarkers offer a clinically interpretable alternative to black-box AI in computational pathology, yet their discovery remains largely intuition-driven, gui…
cs.CE2026
Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
Qian Da, Yijiang Chen, Min Ju +25
Recent breakthroughs in artificial intelligence through foundation models and agents have accelerated the evolution of computational pathology. Demonstrated performance gains repor…
cs.CV2025
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere +2
3D medical image segmentation has progressed considerably due to Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), yet these methods struggle to balance long-ran…