AB-MTE Deep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata

The study introduces the AB-MTEDeep network, an AI model combining Faster Residual Convolutional Neural Network and Long Short-Term Memory network, for classifying Alopecia Areata (AA) in scalp images. It utilizes a novel data augmentation model, AA-Generative Adversarial Network (AA-GAN), to generate a large number of high-quality synthetic images that closely resemble real images. These images are used to train the AB-MTEDeep model, resulting in a classification accuracy of 96.94% for AA.