Invention Grant
- Patent Title: Detection of outlier lesions based on extracted features from skin images
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Application No.: US16247798Application Date: 2019-01-15
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Publication No.: US10586330B2Publication Date: 2020-03-10
- Inventor: Mani Abedini , Adrian Bowling , Rajib Chakravorty , Sergey Demyanov , Rahil Garnavi
- Applicant: International Business Machines Corporation , MoleMap NZ Ltd.
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Agent Joseph Petrokaitis
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06K9/46 ; G06K9/62 ; G06T7/73

Abstract:
A method for image analysis comprises receiving one or more images of a plurality of lesions captured from a body of a person, extracting one or more features of the plurality of lesions from the one or more images, analyzing the extracted one or more features, wherein the analyzing comprises determining a distance between at least two lesions with respect to the extracted one or more features, and determining whether any of the plurality of lesions is an outlier based on the analyzing.
Public/Granted literature
- US20190147594A1 DETECTION OF OUTLIER LESIONS BASED ON EXTRACTED FEATURES FROM SKIN IMAGES Public/Granted day:2019-05-16
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