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Proceedings Paper

Hyperspectral imaging for melanoma screening
Author(s): Justin Martin; James Krueger; Daniel Gareau
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Paper Abstract

The 5-year survival rate for patients diagnosed with Melanoma, a deadly form of skin cancer, in its latest stages is about 15%, compared to over 90% for early detection and treatment. We present an imaging system and algorithm that can be used to automatically generate a melanoma risk score to aid clinicians in the early identification of this form of skin cancer. Our system images the patient's skin at a series of different wavelengths and then analyzes several key dermoscopic features to generate this risk score. We have found that shorter wavelengths of light are sensitive to information in the superficial areas of the skin while longer wavelengths can be used to gather information at greater depths. This accompanying diagnostic computer algorithm has demonstrated much higher sensitivity and specificity than the currently commercialized system in preliminary trials and has the potential to improve the early detection of melanoma.

Paper Details

Date Published: 4 March 2014
PDF: 7 pages
Proc. SPIE 8926, Photonic Therapeutics and Diagnostics X, 892611 (4 March 2014); doi: 10.1117/12.2040396
Show Author Affiliations
Justin Martin, The Rockefeller Univ. (United States)
Columbia Univ. in the City of New York (United States)
James Krueger, The Rockefeller Univ. (United States)
Daniel Gareau, The Rockefeller Univ. (United States)


Published in SPIE Proceedings Vol. 8926:
Photonic Therapeutics and Diagnostics X
Bernard Choi; Hyun Wook Kang; Brian J. F. Wong M.D.; Guillermo J. Tearney M.D.; Andreas Mandelis; Nikiforos Kollias; Kenton W. Gregory M.D.; Justus F. Ilgner M.D.; Haishan Zeng; Laura Marcu, Editor(s)

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