Toward automated detection of malignant melanoma

Billy Huang; Daniel S. Gareau

doi:10.1117/12.809386

23 February 2009 Toward automated detection of malignant melanoma

Billy Huang, Daniel S. Gareau

Proceedings Volume 7169, Advanced Biomedical and Clinical Diagnostic Systems VII; 71690X (2009) https://doi.org/10.1117/12.809386
Event: SPIE BiOS, 2009, San Jose, California, United States

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.

Citation Download Citation

Billy Huang and Daniel S. Gareau "Toward automated detection of malignant melanoma", Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 71690X (23 February 2009); https://doi.org/10.1117/12.809386

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