Purpose Basal cell carcinoma is one of the most common malignant skin lesions. Automated
lesion identification and classification using image processing techniques is highly required …

Skin cancer is the most common type of cancer in many parts of the world. As skin cancers
start as skin lesions, it is important to identify precancerous skin lesions early. In this paper …

The abnormal growth of skin cells often leads to skin cancer due to the exposure of skin cells
to the sun. The skin disease is primarily caused by bacteria, fungus, viruses, UV radiation …

Background and objective Melanoma is one of the major death causes while basal cell
carcinoma (BCC) is the utmost incident skin lesion type. At their early stages, medical …

ABSTRACT Introduction and Aim: This paper depicts a novel image processing approach for
skin cancer detection on dermatoscope images. The main objective of this work is to classify …

In this paper we used hybrid spatial features representation and Radial basis type network
classifier to classify melanoma skin lesion. There are five different skin lesions commonly …

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 …

Cancer of the skin is now one of the most prevalent forms of the disease among people. As a
result, accurate diagnosis of malignant lesions is of utmost significance in treating skin …

The aim and objectives of the study is to perform automated segmentation of different skin
cancer images using C-means and watershed algorithm and features extraction by Gray …

Background and objective Skin cancer is the commonest form of cancer in the worldwide
population. Non-invasive and non-contact imaging modalities are being used for the …