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Author

D. Pasynkov

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Conference Aug 2026

Ensembles of deep learning networks for classification of breast ultrasound images

This paper examines the problem of three-class classification of breast ultrasound images (benign, malignant, and cystic). A comparative analysis of six deep learning models (AlexNet, ResNet-18, InceptionResNetV2, ViT, Swin, and ConViT) and their two-component combinations is presented, using four machine learning clas...

A. Kolchev, Xing Zhe, D. Pasynkov et al. · 0 citations

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