3 papers
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.CV2023
Generating Progressive Images from Pathological Transitions via Diffusion Model
Zeyu Liu, Tianyi Zhang, Yufang He +3
Deep learning is widely applied in computer-aided pathological diagnosis, which alleviates the pathologist workload and provide timely clinical analysis. However, most models gener…
eess.IV2023
CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-supervised Learning Pre-training
Nan Ying, Yanli Lei, Tianyi Zhang +6
Pathological image analysis is a crucial field in computer-aided diagnosis, where deep learning is widely applied. Transfer learning using pre-trained models initialized on natural…