title: Computer-assisted diagnosis of melanoma.
abstract: The computer-assisted diagnosis of melanoma is an exciting area of research where imaging techniques are combined with diagnostic algorithms in an attempt to improve detection and outcomes for patients with skin lesions suspicious for malignancy. Once an image has been acquired, it undergoes a processing pathway which includes preprocessing, enhancement, segmentation, feature extraction, feature selection, change detection, and ultimately classification. Practicality for everyday clinical use remains a vital question. A successful model must obtain results that are on par or outperform experienced dermatologists, keep costs at a minimum, be user-friendly, and be time efficient with high sensitivity and specificity.
authors.affiliation: Department of Dermatology, Hofstra NSLIJ School of Medicine, North Shore LIJ Health System, Manhasset, New York, USA.
authors.forename: Collin
authors.initials: C
authors.lastname: Fuller
authors.affiliation: Department of Dermatology, Hofstra NSLIJ School of Medicine, North Shore LIJ Health System, Manhasset, New York, USA.
authors.forename: A Paul
authors.initials: AP
authors.lastname: Cellura
authors.affiliation: Memorial Sloan Kettering, Dermatology Service, New York, New York, USA.
authors.forename: Brian P
authors.initials: BP
authors.lastname: Hibler
authors.affiliation: Department of Dermatology, Hofstra NSLIJ School of Medicine, North Shore LIJ Health System, Manhasset, New York, USA. kburris@nshs.edu.
authors.forename: Katy
authors.initials: K
authors.lastname: Burris
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D008545:Melanoma / Q000175:diagnosis*; D012878:Skin Neoplasms / Q000175:diagnosis*
keywords: MelaFind; SIAscope; artificial intelligence; computer-assisted diagnosis; dermoscopy; imaging algorithms; imaging in dermatology; melanoma; skin cancer