Automated Surface Area Assessment for Dermatologic Lesions

A method for assessing a three-dimensional (3D) surface area having one or more lesions is disclosed. The method includes steps of: capturing a two-dimensional (2D) color image and a depth image of the 3D surface area; enhancing contrast of the 2D color image; segmenting the one or more lesions of the 2D color image into one or more segmented lesions; and calculating 3D area of the one or more segmented lesions using information from 2D color image and the depth image.

Researchers

Priyanka Raina / Jiarui Huang / Victor Huang / Anantha Chandrakasan

Departments: Dept of Electrical Engineering & Computer Science
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Bioinformatics / Sensing & Imaging: Optical Sensing

  • automated surface area assessment for dermatologic lesions
    United States of America | Granted | 10,945,657

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