Toward automated detection of malignant melanoma
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 q...
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| Format: | Article |
| Language: | en_US |
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Society of Photo-optical Instrumentation Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/54722 |
| _version_ | 1811070382770225152 |
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| author | Huang, Billy Gareau, Daniel S. |
| author2 | Massachusetts Institute of Technology. Department of Biology |
| author_facet | Massachusetts Institute of Technology. Department of Biology Huang, Billy Gareau, Daniel S. |
| author_sort | Huang, Billy |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T08:35:05Z |
| format | Article |
| id | mit-1721.1/54722 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:35:05Z |
| publishDate | 2010 |
| publisher | Society of Photo-optical Instrumentation Engineers |
| record_format | dspace |
| spelling | mit-1721.1/547222022-09-30T09:46:22Z Toward automated detection of malignant melanoma Huang, Billy Gareau, Daniel S. Massachusetts Institute of Technology. Department of Biology Huang, Billy Huang, Billy 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. 2010-05-05T19:49:23Z 2010-05-05T19:49:23Z 2009-02 Article http://purl.org/eprint/type/JournalArticle 0277-786X http://hdl.handle.net/1721.1/54722 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 en_US http://dx.doi.org/10.1117/12.809386 Proceedings of SPIE--the International Society for Optical Engineering 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. application/pdf Society of Photo-optical Instrumentation Engineers SPIE |
| spellingShingle | Huang, Billy Gareau, Daniel S. Toward automated detection of malignant melanoma |
| title | Toward automated detection of malignant melanoma |
| title_full | Toward automated detection of malignant melanoma |
| title_fullStr | Toward automated detection of malignant melanoma |
| title_full_unstemmed | Toward automated detection of malignant melanoma |
| title_short | Toward automated detection of malignant melanoma |
| title_sort | toward automated detection of malignant melanoma |
| url | http://hdl.handle.net/1721.1/54722 |
| work_keys_str_mv | AT huangbilly towardautomateddetectionofmalignantmelanoma AT gareaudaniels towardautomateddetectionofmalignantmelanoma |