3D Whole-body skin imaging for automated melanoma detection.
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| Title: | 3D Whole-body skin imaging for automated melanoma detection. |
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| 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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| ISSN: | 1468-3083 |
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| DOI: | 10.1111/jdv.18924 |
