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Proceedings Paper

Toward automated detection of malignant melanoma
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Paper Abstract

In vivo reflectance confocal microscopy shows promise for the early detection of malignant melanoma (MM). Two hallmarks of MM have been identified: the presence of pagetoid melanocytes in the epidermis and the breakdown of the dermal papillae. For detection of MM, these features must be identified qualitatively by the clinician and qualitatively through automated pattern recognition. A machine vision algorithm was developed for automated detection. The algorithm detected pagetoid melanocytes and breakdown of the dermal/epidermal junction in a pre-selected set of five MMs and five benign nevi for correct diagnosis.

Paper Details

Date Published: 23 February 2009
PDF: 9 pages
Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 71690X (23 February 2009); doi: 10.1117/12.809386
Show Author Affiliations
Billy Huang, Memorial Sloan-Kettering Cancer Ctr. (United States)
Massachusetts Institute of Technology (United States)
Daniel S. Gareau, Memorial Sloan-Kettering Cancer Ctr. (United States)
Oregon Health & Science Univ. (United States)


Published in SPIE Proceedings Vol. 7169:
Advanced Biomedical and Clinical Diagnostic Systems VII
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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