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Progressive perception learning for main coronary segmentation in X-ray angiography
Main coronary segmentation from the X-ray angiography images is important for the
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images
Automated coronary angiography assessment requires precise vessel segmentation, a task
complicated by uneven contrast filling and background noise. Our research introduces an …
complicated by uneven contrast filling and background noise. Our research introduces an …
DBCU-Net: deep learning approach for segmentation of coronary angiography images
Coronary angiography (CAG) is the “gold standard” for diagnosing coronary artery disease
(CAD). However, due to the limitation of current imaging methods, the CAG image has low …
(CAD). However, due to the limitation of current imaging methods, the CAG image has low …
DIAS: a dataset and benchmark for intracranial artery segmentation in DSA sequences
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography
(DSA) plays a crucial role in the quantification of vascular morphology, significantly …
(DSA) plays a crucial role in the quantification of vascular morphology, significantly …
Coronary Vessel Segmentation in X-ray Angiography Images Using Edge-Based Tracking Method
Automated extraction of coronary arteries is an essential process in the diagnosis of
treatment for coronary artery disease (CAD) with computer assistance. Accurately outlining …
treatment for coronary artery disease (CAD) with computer assistance. Accurately outlining …
Model-Based Offline Reinforcement Learning for Autonomous Delivery of Guidewire
Guidewire delivery is a fundamental procedure in percutaneous coronary intervention. The
inherent flexibility of the guidewire poses challenges in precise control, necessitating long …
inherent flexibility of the guidewire poses challenges in precise control, necessitating long …
Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction
D Song, W Huang, J Liu, MJ Islam, H Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Accurate segmentation of blood vessels is essential for various clinical assessments and
postoperative analyses. However, the inherent challenges of vascular imaging, such as …
postoperative analyses. However, the inherent challenges of vascular imaging, such as …