convnet models 1data augmentation 1dermoscopic imaging 1out-of-domain generalization 1skin cancer classification 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
eess.IV2024
MamT: Multi-view Attention Networks for Mammography Cancer Classification
Alisher Ibragimov, Sofya Senotrusova, Arsenii Litvinov +3
In this study, we introduce a novel method, called MamT, which is used for simultaneous analysis of four mammography images. A decision is made based on one image of a breast,…