The heart is one of the most important and sophisticated organ of the human body. Coronary ischemia is a condition in which the coronary muscles do not receive sufficient blood and oxygen because of blocked or tightened heart vessels. This syndrome is called cardiac vessel illness. There have been numerous attempts to detect the impact of cardiac vessel illness on the heart muscles using noninvasive experiments. Most of the effects of ischemia as well as severe cardiac conditions on the muscles of the ventricle parts can be detected using ultrasonic images. If treatment is provided to suspected cases in the early stage of cardiac vessel illness, the chance of survival is high; for this, many software‐based detection approaches have been used. In this study, we propose an approach that can automatically diagnose the cardiac artery disease by using the cardiac echo images of the four parts of the heart.

中文翻译：

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卷积神经网络分类器在冠状动脉缺血检测中的实现

心脏是人体最重要，最复杂的器官之一。冠状动脉缺血是一种由于冠状动脉血管阻塞或收紧而使冠状肌肉无法获得足够的血液和氧气的疾病。这种综合征称为心血管疾病。已经进行了许多尝试使用无创实验来检测心血管疾病对心肌的影响。缺血和严重心脏疾病对心室部分肌肉的大多数影响都可以使用超声图像检测到。如果在心血管疾病的早期阶段对可疑病例进行治疗，则存活的机会就很高；为此，已使用了许多基于软件的检测方法。在这个研究中，