Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …

Skin lesions affect millions of people worldwide. They can be easily recognized based on
their typically abnormal texture and color but are difficult to diagnose due to similar …

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 …

Background: Skin diseases are reported to contribute 1.79% of the global burden of disease.
The accurate diagnosis of specific skin diseases is known to be a challenging task due, in …

The majority of cases of skin cancer can be identified using a combination of a doctor's
ocular inspection, a dermoscopy, and other diagnostic methods. There are a number of …

Background: Automated intelligent systems for unbiased diagnosis are primary requirement
for the pigment lesion analysis. It has gained the attention of researchers in the last few …

This paper presents a detailed and robust survey of the state-of-the-art algorithms and
techniques for performing skin lesion segmentation. The approach used is the comparative …

Diagnosis of skin lesions is a very challenging task due to high inter-class similarities and
intra-class variations between lesions in terms of color, size, site and appearance. As a …

Common properties of dermatological diseases are mostly lesions with abnormal pattern
and skin color (usually redness). Therefore, dermatology is one of the most appropriate …

Automated skin lesion diagnosis from dermoscopic images is a difficult process due to
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …