Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging

Amy Swerdlin, Eric Simpson, Steven Jacques, Daniel S. Gareau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationAdvanced Biomedical and Clinical Diagnostic Systems X
DOIs
StatePublished - Jun 12 2012
EventAdvanced Biomedical and Clinical Diagnostic Systems X - San Francisco, CA, United States
Duration: Jan 22 2012Jan 24 2012

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8214
ISSN (Print)1605-7422

Other

OtherAdvanced Biomedical and Clinical Diagnostic Systems X
CountryUnited States
CitySan Francisco, CA
Period1/22/121/24/12

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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    Swerdlin, A., Simpson, E., Jacques, S., & Gareau, D. S. (2012). Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging. In Advanced Biomedical and Clinical Diagnostic Systems X [82140C] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8214). https://doi.org/10.1117/12.909892