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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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Bibliographic Details
Main Author: He Meng (33363) (author)
Other Authors: Ran Zhao (337603) (author), Ying Zhang (40767) (author), Bo Zhang (6559) (author), Cheng Zhang (70708) (author), Di Wang (329735) (author), Jinlu Sun (12539914) (author)
Published: 2025
Subjects:
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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