Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping

Kacie Kaile; Masrur Sobhan; Ananda Mondal; Anuradha Godavarty

doi:10.1364/TRANSLATIONAL.2022.JM3A.4

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper JM3A.4
•https://doi.org/10.1364/TRANSLATIONAL.2022.JM3A.4

Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping

Kacie Kaile, Masrur Sobhan, Ananda Mondal, and Anuradha Godavarty

Microscopy Histopathology and Analytics 2022

Fort Lauderdale, Florida United States
24–27 April 2022
ISBN: 978-1-957171-03-6

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Joint Poster Session I On Site (JM3A)

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K. Kaile, M. Sobhan, A. Mondal, and A. Godavarty, "Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper JM3A.4.

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Abstract

A machine learning approach is implemented to label different skin tones towards melanin correction of tissue oxygenation maps, when using a smartphone based near-infrared (NIR) imaging device.

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