基于自适应概率统计模型的计算机辅助诊断算法研究  

Computer-aided diagnosis algorithm based on adaptive statistical model

作　　者：叶得学[1] 

机构地区：[1]兰州商学院陇桥学院工学系,兰州730101

出　　处：《软件》2013年第4期49-51,共3页Software

摘　　要：计算机辅助诊断是医学诊断学与人工智能技术结合的产物,在诊断学的各个领域的应用日益增多。结合先进的计算机图像技术,利用自适应概率统计模型建立的肺部肿瘤识别模型和正常模型。可以通过计算待检测样本和两个模型的相似度,提高诊断的准确度。Computer-aided diagnosis, which is the product of the combination of medical diagnostics and artificial intelligence technology, has been increasingly applied in various fields of diagnostics. With the advanced computer graphics technology, the lung tumor recognition model and the normal model based on the adaptive statistics model are made. In addition, by comparing the similarity of the samples and the two models, accuracy of the diagnosis will be greatly improved.

关 键 词：计算机辅助诊断 肺癌 自适应概率统计模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]