Nature

Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images

To address the COVID-19 classification task using X-ray images, Apostolopoulos et al. 8 employed five pre-trained DL models, including MobileNetV2, VGG19, Inception, Xception, and InceptionResNetV2, ...
Frontiers

Tongue feature recognition to monitor rehabilitation: deep neural network with visual attention mechanism

We endeavor to develop a novel deep learning architecture tailored specifically for the analysis and classification of tongue features, including color, shape, and coating. Unlike conventional methods ...
GitHub

pytorch_segmentation_models_trainer

A visual web interface hosted on GitHub Pages for building YAML configuration files without editing text by hand. Supports the Training and Predict workflows.
Nature

Deep learning model for tongue cancer diagnosis using endoscopic images

In this study, we developed a deep learning model to identify patients with tongue cancer based on a validated dataset comprising oral endoscopic images. We retrospectively constructed a dataset of 12 ...