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Presenting a Simplified Assistant Tool for Breast Cancer Diagnosis in Mammography to Radiologists

机译:提出一种简化的乳腺癌乳腺癌患者乳腺癌诊断到放射科医师

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This paper proposes a method to simplify a computational model from logistic regression for clinical use without computer. The model was built using human interpreted features including some BI-RADS standardized features for diagnosing the malignant masses. It was compared with the diagnosis using only assessment categorization from BI-RADS. The research aims at assisting radiologists to diagnose the malignancy of breast cancer in a way without using automated computer aided diagnosis system.
机译:本文提出了一种从没有计算机的临床应用中简化计算模型的方法。该模型是使用人类解释的特征构建的,包括一些Bi-RADS标准化功能,用于诊断恶性肿块。它与使用Bi-RAD的评估分类的诊断进行了比较。该研究旨在辅助放射科医师在不使用自动化计算机辅助诊断系统的情况下以一种方式诊断乳腺癌恶性肿瘤。

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