OCT Dataset for Segmentation of Atherosclerotic Plaque Morphological Features
Version 1Objectives: The primary goal of this dataset is to enable the automated segmentation and quantification of atherosclerotic plaque features in OCT images. Cardiovascular disease, with atherosclerosis at its core, remains a global health challenge. Accurate identification of vulnerable plaques is crucial for preventing acute cardiovascular events such as myocardial infarction and stroke. OCT imaging provides high-resolution insights into plaque morphology but is often constrained by manual interp
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Objectives: The primary goal of this dataset is to enable the automated segmentation and quantification of atherosclerotic plaque features in OCT images. Cardiovascular disease, with atherosclerosis at its core, remains a global health challenge. Accurate identification of vulnerable plaques is crucial for preventing acute cardiovascular events such as myocardial infarction and stroke. OCT imaging provides high-resolution insights into plaque morphology but is often constrained by manual interp