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.
· International Conference on... · 0 citations