most citedCNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets

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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…

cs.CV2025★ 2 cited

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…