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cs.CE2026
MUFASA: An Information Utility-Aware Preprocessing Framework for Reliable Model Reasoning in Computational Pathology
Rathinaraja Jeyaraj, Barathi Subramanian, Songmi Noh +7
Reliable computational pathology depends on preprocessing methods that identify informative tissue regions while excluding artifacts and low-utility regions from whole-slide images…
cs.CE2025
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson +5
Multi-class tissue-type classification of colorectal cancer (CRC) histopathologic images is a significant step in the development of downstream machine learning models for diagnosi…