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Diagnosis of Pathology on the Vertebral Column with Backpropagation and Naive Bayes Classifier

机译:背部衰落和幼稚贝叶斯分类器脊柱病理学诊断

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Minimizing human errors in diagnosis is one of the most important aims of Computer-Aided Diagnosis (CAD) systems. CAD software is the software helping radiologists , specialist doctor for detect abnormality on medical views by using advanced pattern diagnosis and view processing methods. In this study, a CAD system that can help detection and diagnosis of Pathology on the Vertebral Column is introduced. The vertebral database used in the application is obtained from UCI (Machine Learning Repository). Various artificial intelligence methods were applied for the classification of this database obtained. The results obtained are comparatively explained in detail in the related part.
机译:最小化诊断中的人为错误是计算机辅助诊断(CAD)系统最重要的目标之一。 CAD软件是帮助放射科医生,通过使用先进的模式诊断和查看处理方法检测医学视图异常的专业医生。在本研究中,介绍了可以帮助检测和诊断椎体柱上病理学的CAD系统。应用程序中使用的椎骨数据库是从UCI(机器学习存储库)获得的。应用了各种人工智能方法,用于获得此数据库的分类。在相关部位中得到的结果在相对详细解释。

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