Share Email Print
cover

Proceedings Paper

Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging
Author(s): Amy Swerdlin; Eric Simpson; Steven Jacques; Daniel S. Gareau
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Cellular histopathological melanoma screening is critical but expensive/invasive. Confocal screening is cheap/noninvasive but data interpretation remains difficult. Human terminology for biological features is insufficient to fully exploit the diagnostic value, so we propose automated quantitative morphometry. Normal diagnostic traits include a regularly organized spinous keratinocyte matrix on an underlying smooth basal keritinocyte layer. Computational identification of dark nuclei in spinous keratinocytes and bright pigmented basal keratinocytes yields two distinct regions: basal and super-basal. These independent algorithms usually yield complementary regions but occasionally overlap or leave gaps. Improved microanatomical discrimination will yield a better diagnostic map to evaluate morphology for cancer detection.

Paper Details

Date Published: 22 February 2012
PDF: 4 pages
Proc. SPIE 8214, Advanced Biomedical and Clinical Diagnostic Systems X, 82140C (22 February 2012); doi: 10.1117/12.909892
Show Author Affiliations
Amy Swerdlin, Oregon Health & Science Univ. (United States)
Eric Simpson, Oregon Health & Science Univ. (United States)
Steven Jacques, Oregon Health & Science Univ. (United States)
Daniel S. Gareau, Oregon Health & Science Univ. (United States)
The Rockefeller Univ. (United States)


Published in SPIE Proceedings Vol. 8214:
Advanced Biomedical and Clinical Diagnostic Systems X
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest, Editor(s)

© SPIE. Terms of Use
Back to Top