… In this study, we show that two different deep learning methods can be used to diagnose
skin cancer with high accuracy rates. The results obtained by using these two algorithms are …

… This paper explores the hierarchical organization of skin lesions, in order to develop a
deep learning system that performs a structured classification. Additionally, we performed …

… skin cancer classification with deep learning are increasing day by day. For the growth of
work in this area, the International Skin … of deep learning models for skin cancer classification …

… of five widely-used deep learning architectures are compared on skin cancer classification.
… state-of-the-art deep learning architectures on dermoscopic images to classify skin lesions. …

… Many deep learning architectures appeared [9], such as LeNet … stemming from skin
cancer and is considered the most common form of skin cancer. Basal cells in the …

… of developing deep learning based image classification models for identification of skin
cancer, … , we limit our review of the literature to deep learning methods for skin cancer images. …

… skin lesions into different classes of skin cancer. We … deep learning architectures that have
been applied in the analysis of satellite images. In summary, application of CNN architectures …

… for skin cancer using different deep neural networks based on transfer learning techniques.
… image classification using different deep neural networks such as Google Exception, …

… is a recent technology which solves the complexity in diagnosing the skin cancer… deep
learning architecture with transfer learning technique that classifies seven different classes of skin …

… and diagnosis of malignant skin cancer cells. Limitations in … using deep learning neural
networks to perform skin cancer … authoritative deep learning concepts pertinent to skin cancer …