Dina A. Elkholy

Comparative Study of CNN, Hybrid, and Transformer Architectures in Medical Image Classification.

The results show that larger models and larger pretraining datasets do not automatically lead to better downstream performance, and transfer effectiveness in medical imaging is driven primarily by architectural inductive biases, pretraining strategy, and domain relevance.