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Method and apparatus for automatically developing a high performance classifier for producing medically meaningful descriptors in medical diagnosis imaging

机译:自动开发用于在医学诊断成像中产生医学上有意义的描述符的高性能分类器的方法和设备

摘要

A method for determining the presence or absence of malignant features in medical images, wherein a plurality of base comparison or training images of various types of lesions taken of actual patient is examined by one or more image reading experts to create a first database array. Low-level features of each of the lesions in the same plurality of base comparisons or training images are determined using one or more image processing algorithms to obtain a second database array set. The first and second database array set are combined to create a training database array set which is input to a learning system that discovers/learns a classifier that maps from a subset of the low-level features to the expert's evaluation in the first database array set. The classifier is used to determine the presence of a particular mid-level feature in an image of lesion in a patient based solely on the image.
机译:一种用于确定医学图像中是否存在恶性特征的方法,其中由一个或多个图像读取专家检查实际患者拍摄的各种类型的病变的多个基础比较图像或训练图像,以创建第一数据库阵列。使用一个或多个图像处理算法确定相同多个基础比较或训练图像中每个病变的低级特征,以获得第二数据库阵列集。将第一数据库阵列集和第二数据库阵列集组合在一起,以创建训练数据库阵列集,将其输入到学习系统中,该学习系统会发现/学习分类器,该分类器将从低级特征的子集映射到第一数据库阵列集中的专家评估。分类器用于仅基于图像来确定患者病变图像中是否存在特定的中级特征。

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