, Skin Lesion Analysis Towards Melanoma Detection for, p.1847743, 2018.
, A Method for Stochastic Optimization, 2014.
, Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration, 2017.
, Rethinking Model Scaling for Convolutional Neural Networks. ICML, 2019.
The HAM10000 Dataset: A Large Collection of Multi-Source Dermatoscopic Images of, Common Pigmented Skin Lesions, 2018. ,
Alemi: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning, vol.2017, pp.4278-4284 ,
U-Net: Convolutional Networks for Biomedical Image Segmentation, Medical Image Computing and Computer-Assisted Intervention, vol.9351, pp.234-241, 2015. ,
, Deep Residual Learning for Image Recognition
, mixup: Beyond Empirical Risk Minimization
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions, Sci. Data, vol.5, 2018. ,
, Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration, 2017.
, Josep Malvehy BCN20000: Dermoscopic Lesions in the Wild, 2019.
Improved Regularization of Convolutional Neural Networks with Cutout, 2017. ,
Smith Cyclical Learning Rates for Training Neural Networks, 2017. ,
, LAAS-CNRS Laboratoire d'analyse et d'architecture des systèmes, 7 Avenue du Colonel Roche, 31400 Toulouse, {nttnga, hangntt}@torus-action.fr LE Bich Phuong: Department of Mathematics, Faculty of Basic Sciences
,
, Torus Actions SAS, 24 rue Delmas, 31400.