Toward automated detection of malignant melanoma
Name
Huang-2009-Toward automated detection of malignant melanoma.pdf
Size
1.02 MB
Format
Adobe PDF
Checksum (MD5)
2889cdbab8af65a01e2579a29b54da09
Author(s)
Huang, Billy
Gareau, Daniel S.
Date Issued
February 2009
Journal
Proceedings of SPIE--the International Society for Optical Engineering
Publisher
Society of Photo-optical Instrumentation Engineers
Citation
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
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1117/12.809386
