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cs.CV2026
HTC-SGA Former: A Hybrid Transformer-CNN Network with Self-Guided Attention and a New Boundary-Weighted Adaptive Loss for Coronary DSA Vessel Segmentation
Rayan Merghani Ahmed, Marwa Omer Mohammed Omer, Mohamed Elmanna +3
Accurate coronary Digital Subtraction Angiography (DSA) vessel segmentation is essential for computer-aided diagnosis and treatment planning of coronary artery disease (CAD). Howev…
cs.CV2026
ScribbleDose: Scribble-Guided Dose Prediction in Radiotherapy
Zhenxi Zhang, Yitao Zhuang, Yao Pu +7
Anatomical structure masks are widely adopted in radiotherapy dose prediction, as they provide explicit geometric constraints that facilitate structure-dose coupling. However, conv…
cs.CV2025
Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation
Zhenxi Zhang, Fuchen Zheng, Adnan Iltaf +6
Accurate segmentation of aortic vascular structures is critical for diagnosing and treating cardiovascular diseases.Traditional Transformer-based models have shown promise in this…