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cs.CV2026

Benchmarking the Domain Gap: Model Selection Instability Under Domain Shift in Video Capsule Endoscopy

Dan Hanson, Debesh Jha

Video capsule endoscopy (VCE) classification is typically evaluated within a single dataset, yet clinical deployment demands robustness across acquisition sources, labeling policie…

cs.CV2026

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak +2

Automated polyp segmentation in colonoscopy continues to pose challenges due to substantial appearance variations and indistinct polyp boundaries. Although emerging foundation mode…

cs.CV2026

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes

Jun Zeng, Quoc-Huy Trinh, Deepak Ranjan Nayak +3

Liver cirrhosis plays a critical role in the prognosis of chronic liver disease. Early detection and timely intervention are essential for reducing mortality rates. However, the in…

cs.CV2026

PRS-Med: Position Reasoning Segmentation in Medical Imaging

Quoc-Huy Trinh, Minh-Van Nguyen, Jun Zeng +2

Prompt-based medical image segmentation has rapidly emerged, yet existing methods rely on explicit prompts like bounding boxes and struggle to reason about the spatial relationship…

cs.CV2025

From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation

Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak +1

Accurate polyp segmentation during colonoscopy is critical for the early detection of colorectal cancer and still remains challenging due to significant size, shape, and color vari…

cs.CV2025

When CNNs Outperform Transformers and Mambas: Revisiting Deep Architectures for Dental Caries Segmentation

Aashish Ghimire, Jun Zeng, Roshan Paudel +6

Accurate identification and segmentation of dental caries in panoramic radiographs are critical for early diagnosis and effective treatment planning. Automated segmentation remains…