System for analyzing thermal data based on breast surface temperature to determine suspect conditions
First Claim
1. A system for analyzing a set of temperature readings of breast tissue of a subject to identify suspect tissue and non-suspect tissue, comprising:
- a set of temperature sensors for sensing the set of temperature readings over a predetermined period, each temperature sensor among the set of temperature sensors placed at a predetermined position on a breast of the subject;
a storage system storing the set of temperature readings received from the set of temperature sensors; and
an ensemble of classifier systems including two or more classifier systems, the ensemble of classifier systems trained using one or more actual temperature readings including an above average temperature reading corresponding to suspect tissue, an average temperature reading corresponding to non-suspect tissue, and an anomalous temperature reading corresponding to non-suspect tissue, the ensemble of classifier systems receiving the set of temperature readings as an input, generating two or more output labels identifying the breast tissue as suspect tissue or non-suspect tissue, and combining the two or more output labels into a single diagnosis identifying the breast tissue as suspect tissue or non-suspect tissue, wherein a weight of each label from the two or more output labels determines a relative contribution of the label towards the single diagnosis.
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Accused Products
Abstract
A portable computing device or microprocessor/storage system including temperature sensors used to collect temperature readings of a breast tissue of a subject. The device would collect data from the sensors at regular time intervals over a period of time. All of the generated temperature data is stored in the portable computing or storage device. The sensors are placed on the greatest areas of interest on the breast, based on where most cancers develop, by using a sensor placeholder. The sensor placeholder would be lobate shaped, with the sensor placeholder aligning with the glandular regions of the breast where cancers are most likely to develop. The temperature data is then analyzed by one or more classifier systems and classified as either suspect or non-suspect tissue.
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Citations
43 Claims
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1. A system for analyzing a set of temperature readings of breast tissue of a subject to identify suspect tissue and non-suspect tissue, comprising:
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a set of temperature sensors for sensing the set of temperature readings over a predetermined period, each temperature sensor among the set of temperature sensors placed at a predetermined position on a breast of the subject; a storage system storing the set of temperature readings received from the set of temperature sensors; and an ensemble of classifier systems including two or more classifier systems, the ensemble of classifier systems trained using one or more actual temperature readings including an above average temperature reading corresponding to suspect tissue, an average temperature reading corresponding to non-suspect tissue, and an anomalous temperature reading corresponding to non-suspect tissue, the ensemble of classifier systems receiving the set of temperature readings as an input, generating two or more output labels identifying the breast tissue as suspect tissue or non-suspect tissue, and combining the two or more output labels into a single diagnosis identifying the breast tissue as suspect tissue or non-suspect tissue, wherein a weight of each label from the two or more output labels determines a relative contribution of the label towards the single diagnosis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A system for analyzing a set of temperature readings of breast tissue of a subject to identify suspect tissue and non-suspect tissue, comprising:
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a set of temperature sensors for sensing the set of temperature readings over a predetermined period, each temperature sensor among the set of temperature sensors placed at a predetermined position on a breast of the subject; and an ensemble of classifier systems including two or more classifier systems, the ensemble of classifier systems trained using one or more actual temperature readings including an above average temperature reading corresponding to suspect tissue, an average temperature reading corresponding to non-suspect tissue, and an anomalous temperature reading corresponding to non-suspect tissue, the ensemble of classifier systems receiving the set of temperature readings as an input, generating two or more output labels identifying the breast tissue as suspect tissue or non-suspect tissue, and combining the two or more output labels into a single diagnosis identifying the breast tissue as suspect tissue or non-suspect tissue, wherein a weight of each label from the two or more output labels determines a relative contribution of the label towards the single diagnosis. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
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43. A system for analyzing a set of temperature readings of breast tissue of a subject to identify suspect tissue and non-suspect tissue, comprising:
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a storage system storing the set of temperature readings, the set of temperature readings gathered over a predetermined period from a set of temperature sensors placed at a predetermined position on a breast of the subject; and an ensemble of classifier systems including two or more classifier systems, the ensemble of classifier systems trained using one or more actual temperature readings including an above average temperature reading corresponding to suspect tissue, an average temperature reading corresponding to non-suspect tissue, and an anomalous temperature reading corresponding to non-suspect tissue, the ensemble of classifier systems receiving the set of temperature readings as an input, generating two or more output labels identifying the breast tissue as suspect tissue or non-suspect tissue, and combining the two or more output labels into a single diagnosis identifying the breast tissue as suspect tissue or non-suspect tissue, wherein a weight of each label from the two or more output labels determines a relative contribution of the label towards the single diagnosis.
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Specification