3 citations · 3 across the 3 of their papers we have counts for
3 papers
Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
Alexander Kozachok, Ilya Latyshev, Evgeny Karpulevich +3
Background/Objectives: Dermoscopic skin-lesion classifiers lose accuracy when images arrive from a new clinic or a new device. We asked which data augmentations reduce that loss, a…
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,…
EndoNet: model for automatic calculation of H-score on histological slides
Egor Ushakov, Anton Naumov, Vladislav Fomberg +7
H-score is a semi-quantitative method used to assess the presence and distribution of proteins in tissue samples by combining the intensity of staining and percentage of stained nu…