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Proceedings Paper

A fast simple-to-use and inexpensive multispectral camera to detect skin conditions (Conference Presentation)
Author(s): Andrea L. Dunbar; Sébastien Blanc; Pedram Pad; Pierre-Alain Beuchat; Athanasios Papathanasiou; Antonios Nikitakis; Konstantinos Makantasis

Paper Abstract

We demonstrate an intelligent multispectral system for various applications. The multispectral camera is handheld ideal for high resolution (5 Mpixel) applications, the system has 16 bands from 365 to 1020 nm that works at 40 fps, and can collect a hyperspectral cube in less the 500 milliseconds. The system uses deep convolution neural networks trained in a supervised learning fashion to characterize up to 7 skin conditions including skin cancer. Given a specific skin image the system characterizes the underline condition along with a confidence score.

Paper Details

Date Published: 26 March 2020
PDF
Proc. SPIE 11287, Photonic Instrumentation Engineering VII, 1128716 (26 March 2020); doi: 10.1117/12.2546246
Show Author Affiliations
Andrea L. Dunbar, CSEM SA (Switzerland)
Sébastien Blanc, CSEM SA (Switzerland)
Pedram Pad, CSEM SA (Switzerland)
Pierre-Alain Beuchat, CSEM SA (Switzerland)
Athanasios Papathanasiou, Althexis Solutions (Cyprus)
Antonios Nikitakis, Althexis Solutions (Cyprus)
Konstantinos Makantasis, Althexis Solutions (Cyprus)


Published in SPIE Proceedings Vol. 11287:
Photonic Instrumentation Engineering VII
Yakov Soskind; Lynda E. Busse, Editor(s)

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