Exploiting Data-Efficient Image Transformer-Based Transfer Learning for Valvular Heart Diseases Detection
Recent studies have shown the potential of the Data-Efficient Image Transformer (DeiT)-based transfer learning method in speech/image recognition and classification utilizing models pre-trained on image datasets.However, the use of DeiT models, especially those pre-trained on image datasets, has not yet Air Purifiers been explored for Valvular Hear