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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
1
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pubmed:dateCreated |
2004-1-19
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pubmed:abstractText |
Identification of dark areas inside a melanocytic lesion (ML) is of great importance for melanoma diagnosis, both during clinical examination and employing programs for automated image analysis.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1018-8665
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pubmed:author |
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pubmed:copyrightInfo |
Copyright 2004 S. Karger AG, Basel
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pubmed:issnType |
Print
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pubmed:volume |
208
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
21-6
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:14730232-Diagnosis, Differential,
pubmed-meshheading:14730232-Humans,
pubmed-meshheading:14730232-Image Interpretation, Computer-Assisted,
pubmed-meshheading:14730232-Melanoma,
pubmed-meshheading:14730232-Microscopy, Video,
pubmed-meshheading:14730232-Nevus, Pigmented,
pubmed-meshheading:14730232-Sensitivity and Specificity,
pubmed-meshheading:14730232-Skin Neoplasms
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pubmed:year |
2004
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pubmed:articleTitle |
Automated extraction and description of dark areas in surface microscopy melanocytic lesion images.
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pubmed:affiliation |
Department of Dermatology, University of Modena and Reggio Emila, Modena, Italy.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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