| Autor: |
Swerdlin, Amy, Simpson, Eric, Jacques, Steven, Gareau, Daniel S. |
| Zdroj: |
Proceedings of SPIE; February 2012, Vol. 8214 Issue: 1 p82140C-82140C-4, 739265p |
| Abstrakt: |
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. |
| Databáze: |
Supplemental Index |
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