… As a result of this research, we offer a deep learning infrastructure approach for skin disease
detection, which is based on the merger of many feed-forward neural architectures that …

… and finally transformed into a probability distribution over clinical classes of skin disease …
Our deep learning network was implemented using Pytorch. Initially, a global learning rate …

… A current review [14] indicated that there are only three mobile applications developed with
deep learning to diagnose skin diseases. In one [15] of them, seven types of skin diseases (…

… In this paper, we applied deep neural network algorithm to classify dermoscopic images of
four common skin diseases and archived promising results. Based on the results, we further …

… Deep learning models are efficient in learning the features that assist in understanding …
This study proposed a computerized process of classifying skin disease through deep learning …

… The proposed work aims at recognising and classifying skin diseases … skin disease
images in DermNet database and classify the diseases by using convolutional neural network …

… In this section, various skin diseases detection techniques were investigated that have been
… the problem of skin disease diagnosis. Four different deep learning models were utilized to …

… On ISIC Archive we classified all 7 diseases with 93% average accuracy and 99% AUC. This
study shows that Deep Learning has great potential to classify a vast array of skin diseases …

… Melanoma is a skin disease that tends to be lethal. It occurs when … of skin cancer are of
tremendous assistance to the accuracy of pathologists. In this research, a deep learning …

… A novel automatic classification algorithm for multiple skin diseases is proposed in this
paper. Because of the complexity of skin lesions, the automatic classification of skin diseases is …