Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …

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 …

We present a convolutional neural network (CNN) equipped with a novel and efficient
adaptive dual attention module (ADAM) for automated skin lesion segmentation from …

Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …

During the last years, computer-vision-based diagnosis systems have been used in several
hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and …

Firmly established as the leading international reference in this field, Non-Invasive Methods
and the Skin broke new ground with its comprehensive coverage of methods used in both …

In this paper, we present an Internet-based melanoma screening system. Our web server is
accessible from all over the world and performs the following procedures when a remote …

Skin disease recognition and observing is a major challenge looked by the medical industry.
Because of expanding contamination and utilization of lousy nourishment, the tally of …

Removal and restoration of hair and hair-like regions within skin lesion images is needed so
features within lesions can be more effectively analyzed for benign lesions, cancerous …

A novel dermoscopy image segmentation algorithm is proposed using a combination of a
self-generating neural network (SGNN) and the genetic algorithm (GA). Optimal samples are …