… the most dangerous type of skin diseases—melanoma. This paper aims to develop a prototype
capable of segment and classify skin lesions in dermoscopy images based on ABCD rule…

… used in an accurate skin cancer melanoma diagnosis computer-… selection and extraction
for skin lesion detection. These … regarding skin lesion detection from dermoscopic images. In …

… images (2,000 training images) … images from the international skin imaging collaboration
(ISIC) archive [13]. We only used the images annotated by experts (indicated by the image …

… Three dermoscopic image databases were used in this study and the feasibility of automatic
analysis on dermoscopic images was investigated based on the inter-database validation. …

… images created from the ISIC Archive dataset [5] In this paper, a novel method for skin lesion
… benchmarked against a publicly available skin lesion dermoscopic image dataset (the ISIC …

… To overcome the challenge of insufficient training data in the field of dermoscopy skin lesion
images, we adopted two strategies, data augmentation and transfer learning [52], [57], [71], […

… of 19424 dermoscopic images of skin lesions captured from … of dermoscopic images of skin
cancer, including lesions found … lesions which do not fit in the aperture of the dermoscopy …

… The approach of our CBIR system for dermoscopic images, that is FIDE [39], is to document
the image analysis side of the diagnostic process, focusing on accompanying and aiding it …

… for skin lesion detection in dermoscopy images. Various computer algorithms have been
devised to classify lesion types using feature descriptors and pattern analysis based on image …

… In this section, our proposed method for extraction of skin lesion from non-dermoscopic
images is discussed. Figure 1 presents an overview of our method, where different steps for the …