Toward automated detection of malignant melanoma
Author(s)Huang, Billy; Gareau, Daniel S.
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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.
DepartmentMassachusetts Institute of Technology. Department of Biology
Proceedings of SPIE--the International Society for Optical Engineering
Society of Photo-optical Instrumentation Engineers
Huang, Billy, and Daniel S. Gareau. “Toward automated detection of malignant melanoma.” Advanced Biomedical and Clinical Diagnostic Systems VII. Ed. Anita Mahadevan-Jansen, Tuan Vo-Dinh, & Warren S. Grundfest. San Jose, CA, USA: SPIE, 2009. 71690X-9. © 2009 SPIE
Final published version