Background/purpose: Automated border detection is an important and challenging task in
the computerized analysis of dermoscopy images. However, dermoscopic images often …

Background: As a result of advances in skin imaging technology and the development of
suitable image processing techniques, during the last decade, there has been a significant …

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of
melanoma and other pigmented skin lesions. Owing to the difficulty and subjectivity of …

BACKGROUND: Dermoscopy is one of the major imaging modalities used in the diagnosis
of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of …

Purpose: This paper presents a novel approach for objective evaluation of border detection
in dermoscopy images of melanoma. Background: In melanoma studies, border detection is …

Automated border detection is one of the most important steps in dermoscopy image
analysis. Although numerous border detection methods have been developed, few studies …

Invasive and in situ malignant melanoma together comprise one of the most rapidly
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …

Background/Purpose Computer‐aided design (CAD) methods are highly valuable for the
analysis of skin lesions using digital dermoscopy due to low rate of diagnostic accuracy of …

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 …

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of
melanoma and other pigmented skin lesions. Because of the difficulty and subjectivity of …