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 publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8214
DOIs
StatePublished - 2012
EventAdvanced Biomedical and Clinical Diagnostic Systems X - San Francisco, CA, United States
Duration: Jan 22 2012Jan 24 2012

Other

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

Fingerprint

Keratinocytes
pattern recognition
Pattern recognition
discrimination
Melanoma
Skin
screening
Imaging techniques
terminology
Screening
cancer
Terminology
nuclei
matrices
Neoplasms

ASJC Scopus subject areas

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

Cite this

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 Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 8214). [82140C] https://doi.org/10.1117/12.909892

Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging. / Swerdlin, Amy; Simpson, Eric; Jacques, Steven; Gareau, Daniel S.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8214 2012. 82140C.

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

Swerdlin, A, Simpson, E, Jacques, S & Gareau, DS 2012, Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8214, 82140C, Advanced Biomedical and Clinical Diagnostic Systems X, San Francisco, CA, United States, 1/22/12. https://doi.org/10.1117/12.909892
Swerdlin A, Simpson E, Jacques S, Gareau DS. Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8214. 2012. 82140C https://doi.org/10.1117/12.909892
Swerdlin, Amy ; Simpson, Eric ; Jacques, Steven ; Gareau, Daniel S. / Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8214 2012.
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