Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio - 17/08/16
Doi : 10.1016/j.jaad.2016.03.054
Bryce Schumacher, BS a, Nabin K. Mishra, PhD b, Stephen W. Dusza, DrPH c, ⁎ 
, Allan C. Halpern, MD, MS c, William V. Stoecker, MD, MS b
, Allan C. Halpern, MD, MS c, William V. Stoecker, MD, MS b a Missouri University of Science and Technology, Rolla, Missouri
b S&A Technologies LLC, Rolla, Missouri
c Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, New York
∗Correspondence to: Stephen W. Dusza, DrPH, Memorial Sloan-Kettering Cancer Center, Dermatology Service, 16 E 60th St, New York, NY 10022Memorial Sloan-Kettering Cancer CenterDermatology Service16 E 60th St, New York, NY 10022
Le texte complet de cet article est disponible en PDF.
| Funding sources: None. |
|
| Dr Stoecker coholds and colicenses US patent 7 689 016 for automatic techniques for skin cancer analysis and is chief executive officer and president of S&A Technologies LLC, which develops dermatology diagnostic and software applications. Mr Schumacher and Drs Mishra, Dusza, and Halpern have no conflicts of interest to declare. |
© 2016
American Academy of Dermatology, Inc.. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 75 - N° 3
P. e119-e120 - septembre 2016 Retour au numéro
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