3D Whole-body skin imaging for automated melanoma detection.

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Title: 3D Whole-body skin imaging for automated melanoma detection.
Authors: Marchetti MA; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Nazir ZH; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.; Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA., Nanda JK; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.; Department of Dermatology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA., Dusza SW; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., D'Alessandro BM; Canfield Scientific, Inc., Parsippany, New Jersey, USA., DeFazio J; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Halpern AC; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Rotemberg VM; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Marghoob AA; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Source: Journal of the European Academy of Dermatology and Venereology : JEADV [J Eur Acad Dermatol Venereol] 2023 May; Vol. 37 (5), pp. 945-950. Date of Electronic Publication: 2023 Mar 24.
Publication Type: Journal Article; Observational Study
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9216037 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-3083 (Electronic) Linking ISSN: 09269959 NLM ISO Abbreviation: J Eur Acad Dermatol Venereol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: 3D Whole-body skin imaging for automated melanoma detection.
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  Data: <searchLink fieldCode="AU" term="%22Marchetti+MA%22">Marchetti MA</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Nazir+ZH%22">Nazir ZH</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.; Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA.<br /><searchLink fieldCode="AU" term="%22Nanda+JK%22">Nanda JK</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.; Department of Dermatology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA.<br /><searchLink fieldCode="AU" term="%22Dusza+SW%22">Dusza SW</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22D'Alessandro+BM%22">D'Alessandro BM</searchLink>; Canfield Scientific, Inc., Parsippany, New Jersey, USA.<br /><searchLink fieldCode="AU" term="%22DeFazio+J%22">DeFazio J</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Halpern+AC%22">Halpern AC</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Rotemberg+VM%22">Rotemberg VM</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Marghoob+AA%22">Marghoob AA</searchLink>; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9216037 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1468-3083 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269959%22">09269959 </searchLink><i>NLM ISO Abbreviation: </i>J Eur Acad Dermatol Venereol <i>Subsets: </i>MEDLINE
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        Value: 10.1111/jdv.18924
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        Text: English
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      – TitleFull: 3D Whole-body skin imaging for automated melanoma detection.
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              Text: 2023 May
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