Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …

Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …

Melanoma, most threatening type of skin cancer, is on the rise. In this paper an
implementation of a deep-learning system on a computer server, equipped with graphic …

Melanoma is considered as one of the fatal cancer in the world, this form of skin cancer may
spread to other parts of the body in case that it has not been diagnosed in an early stage …

Skin diseases remain a major cause of disability worldwide and contribute approximately
1.79% of the global burden of disease measured in disability-adjusted life years. In the …

Abstract In recent history, Convolutional Neural Networks have attained breakthroughs in
addressing many intractable problems in the domain of image processing. But its …

In recent days, skin cancer is seen as one of the most Hazardous form of the Cancers found
in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous …

Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …