 Abstract—Melanoma is a common type of cancer that affects a significant number of
people. Recently, deep learning techniques have been shown to be highly accurate in …

Research in the field of medicine and relevant studies evince that melanoma is one of the
deadliest cancers. It defines precisely that the condition develops due to uncontrolled growth …

The complex detection background and lesion features make the automatic detection of
dermoscopy image lesions face many challenges. The previous solutions mainly focus on …

Malignant melanoma is one of the most dreadful skin cancer types caused by the abnormal
growth of melanocyte cells. Deep convolutional neural network (CNN) models are becoming …

In this study, a multi-task deep neural network is proposed for skin lesion analysis. The
proposed multi-task learning model solves different tasks (eg, lesion segmentation and two …

Melanoma is one of the four major types of skin cancers caused by malignant growth in the
melanocyte cells. It is the rarest one, accounting to only 1% of all skin cancer cases …

Automatic classification of color images of skin helps clinicians and dermatologists in
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …

Dermoscopic images are widely used for melanoma detection. Many existing works based
on traditional classification methods and deep learning models have been proposed for …

In this article, we describe the design and implementation of a publicly accessible
dermatology image analysis benchmark challenge. The goal of the challenge is to sup-port …

Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only
15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of …