Skin cancer is a major health problem. There are several techniques to help diagnose skin
lesions from a captured image. Computer-aided diagnosis (CAD) systems operate on single …

An automatic method for segmenting skin lesions in conventional macroscopic images is
presented. The images are acquired with conventional cameras, without the use of a …

This paper proposes a computer assisted diagnostic system for the detection of melanoma
in dermoscopy images. Clinical findings have concluded that in case of melanoma, the …

We present a superpixel-based strategy for segmenting skin lesion on dermoscopic images.
The segmentation is carried out by over-segmenting the original image using the SLIC …

Segmentation of skin lesions is considered as an important step in computer aided
diagnosis (CAD) for automated melanoma diagnosis. Existing methods however have …

Automatic localization of skin lesions within dermoscopy images is a crucial step toward
developing a decision support system for skin cancer detection. However, segmentation of …

Malignant skin lesions are among the most common types of cancer, and automated
systems for their early detection are of fundamental importance. We propose SDI+, an …

This paper presents a novel strategy to perform skin lesion segmentation from dermoscopic
images. We design an effective segmentation pipeline, and explore several pre-training …

This work summarizes the results of the largest skin image analysis challenge in the world,
hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has …

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 …