Accurate detection of the borders of skin lesions is a vital first step for computer aided
diagnostic systems. This paper presents a novel automatic approach to segmentation of skin …

This paper presents a novel approach in computer aided skin lesion segmentation of
dermoscopic images. We apply spatial and color features in order to model the lesion …

Currently, there is a great interest in the development of computer-aided diagnosis (CAD)
systems for dermoscopic images. The segmentation step is one of the most important ones …

Background: Skin cancer is among the most common types of cancer. Melanoma is the most
fatal of all skin cancer types. The only effective treatment is early excision. Recognising …

Dermoscopy is a non-invasive diagnostic technique for the in vivo observation of pigmented
skin lesions used in dermatology. There is currently a great interest in the prospects of …

Accurate skin lesion segmentation is important for identification and classification through
computational methods. However, when performed by dermatologists, the results of clinical …

Purpose We present a classifier for automatically selecting a lesion border for dermoscopy
skin lesion images, to aid in computer‐aided diagnosis of melanoma. Variation in …

We propose a deep learning approach to segment the skin lesion in dermoscopic images.
The proposed network architecture uses a pretrained EfficientNet model in the encoder and …

The establishment of automatic diagnostic systems able to detect and classify skin lesions at
the initial stage are getting really relevant and effective in providing support for medical …

Skin cancer is one of the most common types of cancer, its incidence reached epidemic
proportions and caused many deaths. Skin cancer can be categorize into three main types; …