Classifying hormone receptor status of malignant tumorous tissue from breast thermographic images

    公开(公告)号:US10368846B2

    公开(公告)日:2019-08-06

    申请号:US15636739

    申请日:2017-06-29

    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.

    SYSTEM AND METHOD TO GENERATE DISCRETIZED INTERPRETABLE FEATURES IN MACHINE LEARNING MODEL

    公开(公告)号:US20220237781A1

    公开(公告)日:2022-07-28

    申请号:US17588018

    申请日:2022-01-28

    摘要: A system and method for processing values of a subset of numeric features to provide interpretability of the results of a machine learning model, by determining an extent of the contribution of the subset of features towards a predicted class by performing: (i) receiving the thermal image, (ii) obtaining a region of interest in the thermal image of the subject, (iii) extracting a plurality of numeric features associated with the region of interest of the thermal image, (iv) predicting a class, (v) estimate an extent of contribution of the subset of numeric features towards the decision of the first machine learning prediction model (M) and (vi) generate a report that includes a generated discrete values that determines the extent of contribution of the subset of numeric features towards the predicted class.

    Blood vessel extraction in two-dimensional thermography

    公开(公告)号:US10198670B2

    公开(公告)日:2019-02-05

    申请号:US15636754

    申请日:2017-06-29

    摘要: What is disclosed is a system and method for isolating blood vessels in a thermographic image of a patient's breast or any other muscular region of the body. A thermographic image of a patient is received. A temperature-based analysis is performed on the image to detect vessel pixels. An intensity-based method analysis is performed on the image. A shape-based analysis is also performed to detect pixels of vessel-like structures. Candidate pixels which satisfy one or more of intensity-based or temperature-based or shaped-based criterion are identified. A constraint of local maximallity is thereafter imposed on each candidate pixel that satisfies both criterion to eliminate spurious non-vessel pixels. Candidate pixels which satisfy both criterion are then marked with a different color such that the vessel structures in the breast tissue can be visually differentiated. The vessel structures are provided to a classifier system which classifies the tissue in the thermal image as malignant and non-malignant otherwise, based on a tortuosity of the vessel structures.