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CLASSIFYING HORMONE RECEPTOR STATUS OF MALIGNANT TUMOROUS TISSUE FROM BREAST THERMOGRAPHIC IMAGES
CLASSIFYING HORMONE RECEPTOR STATUS OF MALIGNANT TUMOROUS TISSUE FROM BREAST THERMOGRAPHIC IMAGES
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机译:从乳腺热成像图像分类恶性肿瘤组织的激素受体状态
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摘要
What is disclosed is a system and method for classifying the hormone receptor status of malignant tumorous tissue identified in a thermographic image of a breast. One embodiment of the present method involves the following. First, receive thermographic image(s) of both breasts of a patient with a malignant tumorous region and analyzing the image(s) to define a boundary contour of the breast. Then, the breast regions are segment into regions of elevated temperature. A function of first probability mass function Q, ƒ(Q), is determined based on temperatures of pixels within a first segmented region. A function of the second probability mass function P, ƒ(P), is determined based on temperatures of pixels within a second region. A distance measure between the two functions ƒ(Q) and ƒ(P) is calculated and provided to a classifier trained to classify the malignant tissue as hormone receptor positive, and negative otherwise, based on the distance measure.
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