3 papers
cs.CV2025
Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis
Cheng Yuan, Jian Jiang, Kunyi Yang +11
Surgical video segmentation is critical for AI to interpret spatial-temporal dynamics in surgery, yet model performance is constrained by limited annotated data. The SAM2 model, pr…
cs.CV2025
Acquisition Time-Informed Breast Tumor Segmentation from Dynamic Contrast-Enhanced MRI
Rui Wang, Yuexi Du, John Lewin +2
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in breast cancer screening, tumor assessment, and treatment planning and monitoring. The dyna…
eess.IV2024
Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation
Yixin Chen, Lin Gao, Yajuan Gao +8
The integration of deep learning in medical imaging has shown great promise for enhancing diagnostic, therapeutic, and research outcomes. However, applying universal models across…