@inproceedings{7bd36b5f87d04d07970e5d97df501d39,
title = "Cellular pattern recognition towards discrimination of normal skin from melanoma in non-invasive confocal imaging",
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.",
author = "Amy Swerdlin and Eric Simpson and Steven Jacques and Gareau, {Daniel S.}",
year = "2012",
month = jun,
day = "12",
doi = "10.1117/12.909892",
language = "English (US)",
isbn = "9780819488572",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Advanced Biomedical and Clinical Diagnostic Systems X",
note = "Advanced Biomedical and Clinical Diagnostic Systems X ; Conference date: 22-01-2012 Through 24-01-2012",
}