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SYSTEM AND METHOD FOR COMPUTER AIDED DETECTION (CAD) IN A BREAST SPECIMEN RADIOGRAPH

机译:乳腺放射线照相中计算机辅助检测(CAD)的系统和方法

摘要

The present disclosure relates to a system, method, and computer program product for computer-aided detection (CAD) of suspicious lesions in digital breast specimen radiographs, wherein single-view feature vectors from a first digital radiograph of the breast specimen are processed in a classification algorithm along with information computed from a plurality of related digital specimen radiographs to assign an overall probability of suspiciousness to potentially suspicious lesions in the first digital breast specimen radiography. In one embodiment, a greater probability of suspiciousness is determined where there are similar corresponding lesions in the first digital breast specimen radiography and in an alternate digital breast specimen radiography view of the same breast specimen. In another preferred embodiment, a lesser probability of suspiciousness is found where there are symmetric lesions or structures located in the first digital breast specimen radiography and a digital breast specimen radiography of another view.
机译:本公开涉及一种用于计算机辅助检测(CAD)数字化乳腺X线照片中的可疑病变的系统,方法和计算机程序产品,其中,来自乳腺标本的第一数字化X线照片的单视图特征向量在处理中被处理。分类算法以及从多个相关的数字化标本X线片计算出的信息,以将可疑的总体概率分配给第一个数字化的乳房标本X线照相中的潜在可疑病变。在一个实施例中,在第一数字乳腺放射线照相术和相同乳腺样本的替代数字乳腺放射线照相视图中存在相似的对应病变的情况下,确定更大的可疑可能性。在另一优选实施例中,在第一视图的数字乳腺X线照相术和另一视图的数字乳腺X线照相术中存在对称病变或结构的情况下,发现可疑的可能性较小。

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