3 papers
cs.CV2026
SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
Zhiling Yan, Sicheng Chen, Tianyi Zhang +3
Segmentation is a critical task in computational pathology, as it identifies areas affected by disease or abnormal growth and is essential for diagnosis and treatment. However, acq…
cs.CV2026
MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis
Sicheng Chen, Chad Wong, Tianyi Zhang +3
Whole Slide Image (WSI) analysis is pivotal in computational pathology, enabling cancer diagnosis by integrating morphological and architectural cues across magnifications. Multipl…
cs.CV2026
SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Enhui Chai, Sicheng Chen, Tianyi Zhang +2
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve as the primary basis for diagnostic evidence, while whole-slide image (WSI)-level…