Wenliu Qi
ABSTRACT
Acute coronary syndrome (ACS) caused by vulnerable plaques can lead to sudden death. The resolution of intravascular optical coherence tomography (IVOCT) is up to 10 μm, and it has become the first choice for vulnerable plaque recognition. However, it is time-consuming and burdensome for doctors to label vulnerable plaques manually. As a result, it is important to develop an automatic method for vulnerable plaque recognition in IVOCT images. This paper proposes a lightweight and real-time method to identify the main vulnerable plaque areas in IVOCT images. The accuracy rate, recall rate and overlap rate of this method on the test set are 84.8%, 90.1%, and 87.0% respectively, and the recognition quality is 87.2%. The results suggest that our method may assist doctors to recognize vulnerable plaque areas fast and accurately.
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Index Terms
- SE-ResNet based vulnerable plaque recognition in IVOCT images
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