The training and validation scripts are based on timm's repository and have been adapted to work with our DiDiCM approach. The DiDiRN architecture is built upon the ResNet design for a fair comparison ...

Abstract: The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and ...

Conclusions The optimized ResNet-18 achieved accurate and stable MH staging using OCT images under a standardized training framework. Compared with deeper CNN and Transformer-based architectures, the ...

--save_dir Directory used for saving the model. trained_models Any existing path --output_dir Directory used for saving the model evaluation results. results Any existing path --config_dir Directory ...