convnet models 1data augmentation 1dermoscopic imaging 1dialogue systems 1expressive tts 1out-of-domain generalization 1prosody 1russian language 1skin cancer classification 1speech corpus 1
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cs.CV2026
Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
Alexander Kozachok, Ilya Latyshev, Evgeny Karpulevich +3
The paper evaluates how different data augmentation strategies, especially photometric transformations and a mixed augmentation policy, can improve the out-of-domain robustness of…
cs.CV2026
Cascade Classification of Dermoscopic Images of Skin Neoplasms with Controllable Sensitivity and External Clinical Validation
Elena S. Kozachok, Sergey S. Seregin, Aleksandr V. Kozachok +2
Purpose. To compare deep learning architectures and classification schemes for dermoscopic images of skin neoplasms and assess their generalization on transfer from open internatio…