Computer-assisted diagnosis of melanoma Journal Article


Authors: Fuller, C.; Cellura, A. P.; Hibler, B. P.; Burris, K.
Article 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. ©2015 Frontline Medical Communications.
Keywords: melanoma; dermoscopy; skin neoplasms; skin cancer; diagnostic imaging; algorithms; algorithm; computer assisted diagnosis; artificial intelligence; diagnosis, computer-assisted; procedures; computer-assisted diagnosis; humans; human; melafind; imaging algorithms; imaging in dermatology; siascope
Journal Title: Seminars in Cutaneous Medicine and Surgery
Volume: 35
Issue: 1
ISSN: 1085-5629
Publisher: W.B. Saunders Co-Elsevier Inc.  
Date Published: 2016-03-01
Start Page: 25
End Page: 30
Language: English
DOI: 10.12788/j.sder.2016.004
PUBMED: 26963114
PROVIDER: scopus
DOI/URL:
Notes: Review -- Export Date: 2 June 2016 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Brian Phillip Hibler
    55 Hibler