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Lesion detection in lung regions that are segmented using spatial relations

机译:使用空间关系分割的肺部区域的病变检测

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In this paper, we have described a lesion detection approach from chest radiography. We have illustrated the importance of accurate segmentation as a preprocessing step in a CAD scheme. Then, a suitable combination among 118 features has been identified using the forward stepwise selection method. The main idea is to obtain a set of features that is enable a CAD not to discriminate between normal lesions and abnormal ones but to specify its nature if this lesion is an infection for example.
机译:在本文中,我们已经描述了胸部射线照相的病变检测方法。 我们已经说明了CAD方案中精确分割作为预处理步骤的重要性。 然后,使用前向逐步选择方法识别118个特征中的合适组合。 主要思想是获得一组特征,该特征能够使得CAD不区分正常病变和异常的特征,而是如果例如这种病变是一种感染,则指定其性质。

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