<i>Dice</i> coefficient profiles of fibrous, lipid, and calcified plaques on test dataset.

<i>Dice</i> coefficient profiles of fibrous, lipid, and calcified plaques on test dataset.

<p><i>Dice</i> coefficient profiles of fibrous, lipid, and calcified plaques on test dataset.</p>

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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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Summary:	<p><i>Dice</i> coefficient profiles of fibrous, lipid, and calcified plaques on test dataset.</p>

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