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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, f(Q), is determined based on temperatures of pixels within a first segmented region. A function of the second probability mass function P,f(P), is determined based on temperatures of pixels within a second region. A distance measure between the two functions f(Q) and f(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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机译:公开了一种用于对在乳房的热成像图像中识别的恶性肿瘤组织的激素受体状态进行分类的系统和方法。本方法的一个实施例涉及以下内容。首先,接收具有恶性肿瘤区域的患者的两个乳房的热成像图像,并分析图像以定义乳房的边界轮廓。然后,将乳房区域分割成高温区域。基于第一分割区域内的像素的温度来确定第一概率质量函数 Q,f I>( Q I>)的函数。基于第二区域内的像素的温度来确定第二概率质量函数 P,f I>( P I>)的函数。计算两个函数 f I>( Q I>)和 f I>( P I>)之间的距离度量并将其提供给分类器经过训练,可以根据距离量度将恶性组织分类为激素受体阳性和阴性。
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