AI-driven imaging biomarkers for sensory cue integration during melanoma screening (Conference Presentation)

Daniel S. Gareau; Charles Vrattos; James Browning; Samantha R Lish; Benjamin Firester; James G. Krueger

doi:10.1117/12.2550189

9 March 2020 AI-driven imaging biomarkers for sensory cue integration during melanoma screening (Conference Presentation)

Daniel S. Gareau, Charles Vrattos, James Browning, Samantha R Lish, Benjamin Firester, James G. Krueger

Author Affiliations +

Proceedings Volume 11230, Optics and Biophotonics in Low-Resource Settings VI; 112300U (2020) https://doi.org/10.1117/12.2550189
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Early diagnosis of melanomas is the most effective means of improving melanoma prognosis. We can arm the non-expert screeners with artificial intelligence but most artificial intelligence methods are somewhat impractical in a clinical setting given the lack of transparency. To provide a quantitative and algorithmic approach to lesion diagnosis while maintaining transparency, and to supplement the clinician rather than replace them, our digital analysis provides visual features, or, “imaging biomarkers” that can both be used in machine learning and visualized too.

Conference Presentation

Citation Download Citation

Daniel S. Gareau, Charles Vrattos, James Browning, Samantha R Lish, Benjamin Firester, and James G. Krueger "AI-driven imaging biomarkers for sensory cue integration during melanoma screening (Conference Presentation)", Proc. SPIE 11230, Optics and Biophotonics in Low-Resource Settings VI, 112300U (9 March 2020); https://doi.org/10.1117/12.2550189

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE