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The computerized lung nodule detection by the energy difference method using a standard chest image and soft tissue chest image

机译:使用标准胸部图像和软组织胸部图像通过能量差法进行的计算机肺结节检测

摘要

(57) [summary] storage medium method for detecting an abnormality in the lung that has been computerized get soft tissue digital chest image [challenge] standard digital chest image and (10), and the system,. (20), generates first and second difference image from the soft tissue digital chest image [SOLUTION] standards, to identify the abnormal candidate first, in the second difference image, abnormality from a first differential image with a standard digital chest image These analyzes the first and second features of extracting first feature that is predetermined for the candidate, extracts the second feature of a predetermined abnormality candidate from the second difference image and the soft tissue digital chest image, the extracted Each artificial neural network features extracted from abnormal candidates that remain after excluding false positive abnormality candidate identify false positive abnormality candidate corresponding to the features and excluded, is derived from the first and second difference image performs a logical OR operation of the abnormal candidate is applied, derived from the first and second difference image, and excludes false positive abnormality candidate further.
机译:(57)一种用于检测已经计算机化的肺部异常的存储介质方法,其获得软组织数字胸部图像和(10)标准数字胸部图像,以及该系统。 (20),从软组织数字化胸部图像[SOLUTION]标准生成第一和第二差异图像,以首先识别异常候选者,在第二差异图像中,从具有标准数字化胸部图像的第一差异图像中识别异常。提取为候选者预定的第一特征的第一和第二特征,从第二差异图像和软组织数字胸部图像中提取预定异常候选者的第二特征,所提取的每个人工神经网络特征从剩余的异常候选者中提取在排除假阳性异常候选者并识别出与特征相对应的假阳性异常候选者之后,从第一差分图像和第二差分图像导出,对异常候选应用逻辑或运算,从第一差分图像和第二差分图像导出,并排除假阳性异常候选者河

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