Navigating The Nuances: Comparative Analysis And Hyperparameter Optimisation Of Neural Architectures On Contrast-enhanced Mri For Liver And Liver Tumour Segmentation

This article discusses the use of deep learning models in medical image segmentation, specifically focusing on the ATLAS dataset and comparing transformer and CNN models. The study aims to provide insights and recommendations for optimizing the performance of these models in clinical environments.