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TÍTULO: Original Research Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts  Full Text
AUTORES: Haggenmuller, S; Maron, RC; Hekler, A; Utikal, JS; Barata, C; Barnhill, RL; Beltraminelli, H; Berking, C; Betz Stablein, B; Blum, A; Braun, SA; Carr, R; Combalia, M; Fernandez Figueras, MT; Ferrara, G; Fraitag, S; French, LE; Gellrich, FF; Ghoreschi, K; Goebeler, M; Guitera, P; Haenssle, HA; Haferkamp, S; Heinzerling, L; Heppt, MV; Hilke, FJ; Hobelsberger, S; Krahl, D; Kutzner, H; Lallas, A; Liopyris, K; Llamas Velasco, M; Malvehy, J; Meier, F; Muller, CSL; Navarini, AA; Navarrete Dechent, C; Perasole, A; Poch, G; Podlipnik, S; Requena, L; Rotemberg, VM; Saggini, A; Sangueza, OP; Santonja, C; Schadendorf, D; Schilling, B; Schlaak, M; Schlager, JG; Sergon, M; Sondermann, W; Soyer, HP; Starz, H; Stolz, W; Vale, E; Weyers, W; Zink, A; Krieghoff Henning, E; Kather, JN; von Kalle, C; Lipka, DB; Frohling, S; Hauschild, A; Kittler, H; Brinker, TJ; ...Mais
PUBLICAÇÃO: 2021, FONTE: EUROPEAN JOURNAL OF CANCER, VOLUME: 156
INDEXADO EM: WOS