Paper
28 February 2011 Polarization-sensitive digital dermoscopy for image processing-assisted evaluation of atypical nevi: towards step-wise detection of melanoma
Lauren S. Yu, Anika O. N. R. Joseph, Erik H. Lindsley, Daniel L. Farkas
Author Affiliations +
Abstract
We have taken a three-pronged approach to improving the current standard of melanoma detection: (a) we are developing a new hyperspectral imaging-based medical device aimed at noninvasively detecting melanoma (b) we used a commercially available hand-held microscope with polarization control as a dermoscope, to begin establishing an inexpensive, portable imaging capability that could help assess the risk of a particular lesion (pigmented nevus) harboring melanoma (c) we created an updated ABCD algorithm and user interface software that more accurately generates a single risk number (Total Dermoscopy Score), for allowing a trained clinician to better assess the need for seeing the patient whose internet-uploaded nevus images they are evaluating. The hyperspectral instrument (a) is discussed elsewhere, and we focus here on (b) and (c), in the hope of increasing melanoma awareness and early detection.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lauren S. Yu, Anika O. N. R. Joseph, Erik H. Lindsley, and Daniel L. Farkas "Polarization-sensitive digital dermoscopy for image processing-assisted evaluation of atypical nevi: towards step-wise detection of melanoma", Proc. SPIE 7902, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 79020K (28 February 2011); https://doi.org/10.1117/12.891083
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Cited by 4 scholarly publications.
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KEYWORDS
Melanoma

Image processing

Image analysis

Digital image processing

Fractal analysis

Detection and tracking algorithms

Skin

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