… The classification accuracy using deep learning was 92.89%. In this paper, a deep convolutional
neural network (DCNN) is applied to classify the color images of skin cancer into three …

… developed a classification system by deep learning for brown to black pigmented skin lesions,
… of 20 dermatologists had higher accuracy than the FRCNN in six-class classification. The …

… overview of the use of deep learning methods in skin cancer classification. We begin by … in
skin cancer classification, then review the frontier challenges in skin cancer classification and …

… Here we demonstrate the effectiveness of deep learning in … skin conditions and specific
cancers. Using a single convolutional neural network trained on general skin lesion classification…

… Thus, it is vital to accumulate and analyze the studies, classify them, and summarize the …
review of skin cancer detection techniques using deep neural network-based classification, we …

… to diagnosis using human eye, this is where Computer vision can help in diagnosing skin
cancer.We can diagnose and classify skin cancer by traditional Machine Learning … Deep …

… rapid classification system of skin cancer using contemporary highly-efficient deep convolutional
neural network… [7] applied multi-column deep neural networks for image classification. A …

… paper to classify different skin cancer images by pre-trained convolutional neural networks.
… as a benchmark database for academic machine learning purposes. We used the training set …

… deep learning network has been selected and trained by the author for the analysis of more
than 24,000 skin cancer images by convolutional neural network … in the classification of these …

… skin cancer detection CNN model which can classify the skin … neural network model to
diagnose and detect skin cancer … to strengthen the classification robustness of the CNN model. …