Fig. 2From: A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI imagesSchematic of a convolutional neural networks with transfer learning. First, the ResNet50 model is trained on the ImageNet dataset of 1000 categories; Second, the convolutional layers are frozen and transferred into a new network; Third, the fully connected layers are retrained through the input of dystrophinopathies T1W1 images; Finally, the model outputs binary classification resultsBack to article page