计算机辅助诊断检测肿瘤的最新方法综述

P. Y. Muhammed Anshad, S. Sushanth Kumar
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引用次数: 23

摘要

计算机辅助诊断(CAD)是目前医学领域中较为可靠的诊断方法之一。CAD系统可以在较短的时间内帮助医生更完善地诊断疾病。现在,CAD是x光、CT、乳房x光或核磁共振影像对癌症进行初步诊断时最可取的方法。CAD作为放射科医生和输入图像之间的中介。CAD的输出不作为最终结果,而是作为相关领域更多测试的参考。事实上,CAD可以帮助医生更准确、更早地发现癌症。人工智能、数字图像处理技术和放射图像处理等技术的结合,使CAD系统更加可靠和高效。灵敏度、特异度、绝对检出率等是CAD系统的重要参数。目前CAD系统多用于乳腺癌检测、肺癌检测、结肠癌、冠心病、先天性心脏病、肺癌、骨癌、脑肿瘤等。身体的任何部位都可能发生癌症,并且极有可能扩散到其他部位。近年来,CAD系统得到了很大的发展,但它并没有达到100%的准确性。在本文中,讨论了必要的选项、动机、早期开发的结果以及CAD系统的未来扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent methods for the detection of tumor using computer aided diagnosis — A review
Computer Aided Diagnosis (CAD) is one of the trusted methods in the field of medicine. CAD system assists the doctors for the diagnosis of diseases in higher degree of perfection within a short period of time. Now CAD is the most preferable method for the initial diagnosis of cancer using X-ray, CT, mammogram or MRI images. CAD works as an intermediate in between the radiologist and the input images. The output from CAD doesn't think about as a final result however used as a reference for more tests in the relevant field. In fact CAD helps the doctors for detection of cancer more precisely and early. The combination of artificial intelligence, digital image processing technique and radiological image processing etc makes the CAD system more reliable and efficient. Sensitivity, specificity, absolute detection rate etc are the important parameters of the CAD system. Now CAD system is mostly used for breast cancer detection, lung cancer detection, colon cancer, coronary artery disease, congenital heart defect, lung cancer, bone cancer, brain tumor etc. Any part of body can affect cancer and very high possibility to spread other parts. These days CAD system developed to a great extends, however it's not reached to 100% accuracy. In this article that discusses the necessary options, motivation, findings from the early developments and future expansions of CAD systems.
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