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<div><p>Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish efficient and precise decision su...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	He Meng (33363) (author)
مؤلفون آخرون:	Ran Zhao (337603) (author), Ying Zhang (40767) (author), Bo Zhang (6559) (author), Cheng Zhang (70708) (author), Di Wang (329735) (author), Jinlu Sun (12539914) (author)
منشور في:	2025
الموضوعات:	Medicine Cell Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified precise decision support outcomes strongly attest optical coherence tomography future research endeavors experimental results demonstrate dense atrous convolution plaque recognition algorithm div >< p coronary artery plaques coronary oct images coronary arteries proposed algorithm plaque segmentation significant resource relatively well realize high primarily carried precision segmentation lipid plaques furnish efficient dice </ dataset serves automated detection attention mechanism
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