Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …

Abstract Background and Objective: Automatic segmentation of skin lesions is considered a
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …

Early identification of melanocytic skin lesions increases the survival rate for skin cancer
patients. Automated melanocytic skin lesion extraction from dermoscopic images using the …

Skin cancer is a major health issue in the present day especially melanoma skin cancer. In
general most of the skin cancers are cured if they are detectedin the early stage. With the …

Despite the recent advances in immune therapies, melanoma remains one of the deadliest
and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes …

Today, much of the information is storing in images. To transfer information in the form of
images, image compression is required. Compressing images reduces the size of images …

Background and objective Timely diagnosis of skin cancer which is one of the most common
cancers can greatly prevent death. Automatic skin lesion segmentation is an important part …

Skin cancer is a serious global health concern with high morbidity and mortality rates.
Therefore, computer-aided automatic diagnostic systems are essential to diagnose skin …

Introduction Detecting and accurately diagnosing early melanocytic lesions is challenging
due to extensive intra-and inter-observer variabilities. Dermoscopy images are widely used …