The high mortality rate of coronary artery disease affects the quality of life today,so the detection and treatment of coronary artery lesions is crucial.Intravascular optical coherence tomography is the best method to identify plaque tissue within coronary arteries.However,the varying levels of clinical experience of physicians lead to disagreement in diagnosis preventing patients from receiving accurate treatment.Deep learning,as the most advanced technology,can automatically extract deep features,which can improve its accuracy and reliability in imaging diagnosis.In this paper,we review the application of deep learning in intravascular optical coherence tomography and provide an outlook on its future prospects in the diagnosis of coronary artery disease.
关键词
深度学习/冠心病/血管内光学相干断层成像
Key words
Deep learning/Coronary heart disease/Optical coherence tomography
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