深度学习在冠心病影像学诊断的研究进展

Deep Learning in Imaging Diagnosis of Coronary Heart Disease

在心血管领域,医学影像与人工智能融合能深入挖掘影像数据特征,并且辅助疾病的诊断。冠心病的诊断主要依靠影像学检查,由于医生之间资历、水平的不同,个体主观原因产生的误差让诊断结果的准确性有所降低,处理数量庞大的影像数据也耗费着医生大量的时间和精力。目前,深度学习作为人工智能的重要分支,在图像数据的处理上发挥着独特的优势,应用于冠心病影像诊断可提高诊断效率和准确性。现就深度学习技术在冠心病影像学诊断中的应用进行综述。

In the cardiovascular field,the fusion of medical imaging and artificial intelligence can deeply explore the features of imaging data and assist in the diagnosis of diseases.The diagnosis of coronary heart disease mainly relies on imaging examinations,and the accuracy of diagnostic results is reduced due to the differences in qualifications and levels among doctors and errors arising from individual subjective reasons.Processing the huge amount of image data consumes a lot of time and energy of doctors.At present,as an important branch of artificial intelligence,deep learning plays a unique advantage in image data processing which can be applied to coronary heart disease image diagnosis to improve diagnostic efficiency and accuracy.In this paper,we review the application of deep learning technology in the diagnosis of coronary artery disease imaging.