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26 March 2020 A fast simple-to-use and inexpensive multispectral camera to detect skin conditions (Conference Presentation)
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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.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrea L. Dunbar, Sébastien Blanc, Pedram Pad, Pierre-Alain Beuchat, Athanasios Papathanasiou, Antonios Nikitakis, and Konstantinos Makantasis "A fast simple-to-use and inexpensive multispectral camera to detect skin conditions (Conference Presentation)", Proc. SPIE 11287, Photonic Instrumentation Engineering VII, 1128716 (26 March 2020); https://doi.org/10.1117/12.2546246
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