Foahom Gouabou, A.C.; Iguernaissi, R.; Damoiseaux, J.-L.; Moudafi, A.; Merad, D.
End-to-End Decoupled Training: A Robust Deep Learning Method for Long-Tailed Classification of Dermoscopic Images for Skin Lesion Classification. Electronics 2022, 11, 3275.
https://doi.org/10.3390/electronics11203275
AMA Style
Foahom Gouabou AC, Iguernaissi R, Damoiseaux J-L, Moudafi A, Merad D.
End-to-End Decoupled Training: A Robust Deep Learning Method for Long-Tailed Classification of Dermoscopic Images for Skin Lesion Classification. Electronics. 2022; 11(20):3275.
https://doi.org/10.3390/electronics11203275
Chicago/Turabian Style
Foahom Gouabou, Arthur Cartel, Rabah Iguernaissi, Jean-Luc Damoiseaux, Abdellatif Moudafi, and Djamal Merad.
2022. "End-to-End Decoupled Training: A Robust Deep Learning Method for Long-Tailed Classification of Dermoscopic Images for Skin Lesion Classification" Electronics 11, no. 20: 3275.
https://doi.org/10.3390/electronics11203275
APA Style
Foahom Gouabou, A. C., Iguernaissi, R., Damoiseaux, J.-L., Moudafi, A., & Merad, D.
(2022). End-to-End Decoupled Training: A Robust Deep Learning Method for Long-Tailed Classification of Dermoscopic Images for Skin Lesion Classification. Electronics, 11(20), 3275.
https://doi.org/10.3390/electronics11203275