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cs.CV2026
DINO-Nucleus: Multi-Level Self-Supervised Features for Nucleus Instance Segmentation
Mohammad Sarhangzadeh, Elyar Esmaeilzadeh, Doruk Oner
Nucleus instance segmentation and counting are essential for quantitative microscopy, enabling reliable analysis of cell populations, tissue organization, and disease-related chang…
cs.CV2025★ 1 cited
CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation
Elyar Esmaeilzadeh, Ehsan Garaaghaji, Farzad Hallaji Azad +1
Promoting the connectivity of curvilinear structures, such as neuronal processes in biomedical scans and blood vessels in CT images, remains a key challenge in semantic segmentatio…