Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

IMPORTANCE: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose. OBJECTIVE: To compare the accuracy of a CNN-based c...

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Detalhes bibliográficos
Publicado no:JAMA Dermatol
Main Authors: Tschandl, Philipp, Rosendahl, Cliff, Akay, Bengu Nisa, Argenziano, Giuseppe, Blum, Andreas, Braun, Ralph P., Cabo, Horacio, Gourhant, Jean-Yves, Kreusch, Jürgen, Lallas, Aimilios, Lapins, Jan, Marghoob, Ashfaq, Menzies, Scott, Neuber, Nina Maria, Paoli, John, Rabinovitz, Harold S., Rinner, Christoph, Scope, Alon, Soyer, H. Peter, Sinz, Christoph, Thomas, Luc, Zalaudek, Iris, Kittler, Harald
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2018
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6439580/
https://ncbi.nlm.nih.gov/pubmed/30484822
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamadermatol.2018.4378
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