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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Assessment of the invariance and discriminant power of morphological features under geometric transformations for breast tumor classification
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Assessment of the invariance and discriminant power of morphological features under geometric transformations for breast tumor classification

机译：评估乳腺肿瘤分类几何变换下的形态特征的不变性与判别力

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摘要

Background and objectives: Computer-aided diagnosis (CAD) systems are intended to assist specialists in the interpretation of images aiming to support clinical conduct. In breast tumor classification, CAD systems involve a feature extraction stage, in which morphological features are used to describe the tumor shape. Such features are expected to satisfy at least two conditions: (1) discriminant to distinguish between benign and malignant tumors, and (2) invariant to geometric transformations. Herein, 39 morphological features were evaluated in terms of invariance and discriminant power for breast tumor classification.
机译：背景和目标：计算机辅助诊断（CAD）系统旨在协助专家解释旨在支持临床行为的图像。 在乳腺肿瘤分类中，CAD系统涉及特征提取阶段，其中使用形态特征来描述肿瘤形状。 这些特征预计将满足至少两个条件：（1）判别区分良性和恶性肿瘤，（2）不变地转换。 在此，在乳腺肿瘤分类的不变性和判别力方面评估了39个形态特征。

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