2 papers
cs.CV2026
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
Aidar Amangeldi, Angsar Taigonyrov, Muhammad Huzaifa Jawad +1
This study evaluates the trade-offs between convolutional and transformer-based architectures on both medical and general-purpose image classification benchmarks. We use ResNet-18…
cs.CV2025
Congenital Heart Disease recognition using Deep Learning/Transformer models
Aidar Amangeldi, Vladislav Yarovenko, Angsar Taigonyrov
Congenital Heart Disease (CHD) remains a leading cause of infant morbidity and mortality, yet non-invasive screening methods often yield false negatives. Deep learning models, with…