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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
1998-8-18
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pubmed:abstractText |
One of the most difficult problems in the in vivo diagnosis of cutaneous tumors is the differentiation clinically between early malignant melanoma (MM) and atypical (dysplastic) melanocytic nevi (AMNs) because these lesions share clinical features. High-quality digital imaging systems and store-and-forward technology have the potential for use in a teledermatology system with which experts would be able to immediately transmit their diagnostic opinions concerning these challenging lesions.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
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pubmed:issn |
1018-8665
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
196
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
299-304
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:9621136-Computer Communication Networks,
pubmed-meshheading:9621136-Diagnosis, Differential,
pubmed-meshheading:9621136-Dysplastic Nevus Syndrome,
pubmed-meshheading:9621136-Humans,
pubmed-meshheading:9621136-Image Processing, Computer-Assisted,
pubmed-meshheading:9621136-Medical Informatics,
pubmed-meshheading:9621136-Melanoma,
pubmed-meshheading:9621136-Photography,
pubmed-meshheading:9621136-Skin Neoplasms
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pubmed:year |
1998
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pubmed:articleTitle |
Comparison of conventional photographs and telephonically transmitted compressed digitized images of melanomas and dysplastic nevi.
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pubmed:affiliation |
Ronald O. Perelman Department of Dermatology, New York University School of Medicine, N.Y., USA.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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