Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …

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 …

Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy
images significantly increases the survival rate. However, the accurate recognition of …

Objective: Segmentation of skin lesions is an important step in the automated computer
aided diagnosis of melanoma. However, existing segmentation methods have a tendency to …

OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …

Background and objectives Because skin cancer affects millions of people worldwide,
computational methods for the segmentation of pigmented skin lesions in images have been …

Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …

Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …

Invasive and in situ malignant melanoma together comprise one of the most rapidly
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …

The segmentation of skin lesions in dermoscopic images is a fundamental step in automated
computer-aided diagnosis of melanoma. Conventional segmentation methods, however …