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 …

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 …

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 …

Automatic skin lesion detection is a key step in computer-aided diagnosis (CAD) of Skin
cancers, since the accuracy of the subsequent steps in CAD crucially depends on it. In this …

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

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 method for automatically segmenting skin lesions by initializing the random
walker algorithm with seed points whose properties, such as colour and texture, have been …

This paper proposes an unsupervised skin lesion segmentation method for dermoscopy
images by exploiting the contextual information of skin image at the superpixel level. In …

In this paper, we propose and evaluate six methods for the segmentation of skin lesions in
dermoscopic images. This set includes some state of the art techniques which have been …

Melanoma is one of the deadly diseases among skin cancer. Melanoma detection can be
done by dermatological screening and biopsy tests which are time consuming and …