… , the occurrence of skin cancer has been growing over the … skin cancers and 132 000
melanoma skin cancers arise worldwide annually. The detection and classification of skin cancer in …

… difficulties to develop a reliable automatic classification system. This paper presents a deep
learning framework for skin cancer detection. Transfer learning was applied to five state-of-…

… learning concepts [5], we can classify skin cancer … , basal cell carcinoma, actinic keratosis,
vascular lesions, and dermatofibroma. Generally, a dermatologist specializing in skin cancer …

… In this paper to classify skin cancer images, we utilized 4 deep convolutional neural networks
pre-trained on ImageNet [46] using TensorFlow [47] which is a deep learning framework …

… use of deep learning methods in skin cancer classification. We … of typical CNN frameworks
in skin cancer classification, then … deep learning frameworks that have been validated for skin …

… types of skin cancers and the resulting images [11]. In recent years, work based on machine
learning (ML) and deep learning (… the skin lesion, eg, size and shape, to classify skin cancer …

… skin lesions and evaluating the accuracy of the system to classify skin cancer, such as MM
and basal cell carcinoma (… endpoints according to the type of skin tumor to be targeted, as well …

… This paper proposes a classification framework using the innovations made in deep learning…
networks and the transfer learning technique for classifying images of skin lesions. In image …

… Our dataset is simply a collection of different types of skin cancer images. To apply DL
approaches it is necessary a large amount of data that makes a good result. However, the …

… Skin cancer has two types: melanoma and non-melanoma. More than 87,000 melanomas
… skin cancer and begins in pigment cells. Approximately 75% of deaths related to skin cancer …