… Within the scope of this study, a Convolutional Neural Network (CNN) model for the diagnosis
of skin cancer was created, constructed, and evaluated using a well-known melanoma …

… In this paper, we extracted the different skin disease images in DermNet database and classify
the diseases by using convolutional neural network architecture. The major 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 …

… a prototype to detect skin diseases using neural networks. In the choice of neural networks,
we have chosen CNN which abbreviates as a convolutional neural network. Earlier detection …

… Artificial intelligence in facial skin problems identification has evolved significantly over the …
automated facial skin disease method using a pre-trained deep convolutional neural network (…

… disease taxonomy. We trained state-of-the-art Deep Neural Networks on two of the largest
publicly available skin … ISIC Archive, and also leveraged disease taxonomy, where available, …

… neural network for Skin Disease Diagnosis (SDD) based on patients’ symptoms and causative
organisms. The artificial neural network … diagnosing selected skin diseases in the tropical …

… In this research, we have investigated the classification accuracy of the convolutional neural
network, a subfield of the deep neural network. We have used a pre-trained network title “…

… Neural Network is proposed to detect skin diseases automatically from Dermoscopy images.
Skin cancer is one of the common diseases in the community. In this article, the skin images …

… detection of skin diseases. This … neural networks to classify color images of skin lesions. It
relies on a pre-trained deep convolutional neural network to classify between six skin diseases…