Great effort has been put into the development of diagnosis methods for the most dangerous
type of skin diseases—melanoma. This paper aims to develop a prototype capable of …

This review paper focuses on different algorithms used for detection and classification of
skin cancer which include steps such as Image Pre-Processing, Image segmentation …

This research work proposes an efficient skin cancer detection technique based on Support
Vector Machine (SVM) with Histogram of Oriented Gradients (HOG) features. In this, skin …

Background Artificial intelligence (AI) has shown great promise in the field of healthcare as a
means of improving the diagnosis of skin cancer. The objective of this research is to …

Digital image processing is a combination of various algorithms and technique to process
different types of images. It is applied in various types of image to process and get a …

The great improvement in the current technology, particularly in the field of artificial
intelligence, has effectively contributed to solving many problems, especially in the medical …

The universal climate change and the ultraviolet radiation from the sun damage the skin
cells. The damaged cells that could not be repaired will develop into skin cancer. The …

Detection of melanocytic skin lesion at an early stage increases the probability of being
cured. Dermoscopy is a widely used diagnostic tool that aids the diagnosis of skin lesions …

Skin cancer exists in different forms such as: Melanoma, Basal and Squamous Cell
Carcinoma, among which Melanoma is the most dangerous and unpredictable skin cancer …

Systematic self-skin check-ups for patients have been exposed to reduce the deepness of
skin lesions at the time of analysis and simplify a lower hazard of stages of skin cancer when …