Spatial Attention-based Residual Network For Human Burn Identification And Classification

This article discusses recent research on the use of machine learning and deep learning models for burn diagnosis. Otsu’s technique is used to remove the scorched area from the image, and deep CNN models are used for feature extraction. Three state-of-the-art deep-learning models, ResNeXt, AlexNet, and VGG16, were evaluated and compared for diagnosing burn images. However, these models showed limited effectiveness in accurate diagnosis of burn degree and distinguishing grafts from non-grafts.