title: Automatic detection of blue-white veil and related structures in dermoscopy images.
abstract: Dermoscopy is a non-invasive skin imaging technique, which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. One of the most important features for the diagnosis of melanoma in dermoscopy images is the blue-white veil (irregular, structureless areas of confluent blue pigmentation with an overlying white "ground-glass" film). In this article, we present a machine learning approach to the detection of blue-white veil and related structures in dermoscopy images. The method involves contextual pixel classification using a decision tree classifier. The percentage of blue-white areas detected in a lesion combined with a simple shape descriptor yielded a sensitivity of 69.35% and a specificity of 89.97% on a set of 545 dermoscopy images. The sensitivity rises to 78.20% for detection of blue veil in those cases where it is a primary feature for melanoma recognition.
authors.affiliation: Department of Computer Science, Louisiana State University in Shreveport, Shreveport, LA 71115, USA. ecelebi@lsus.edu
authors.forename: M Emre
authors.initials: ME
authors.lastname: Celebi
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Iyatomi
authors.forename: William V
authors.initials: WV
authors.lastname: Stoecker
authors.forename: Randy H
authors.initials: RH
authors.lastname: Moss
authors.forename: Harold S
authors.initials: HS
authors.lastname: Rabinovitz
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Argenziano
authors.forename: H Peter
authors.initials: HP
authors.lastname: Soyer
mesh_terms: D001185:Artificial Intelligence; D003663:Decision Trees; D003880:Dermatology / Q000379:methods; D046169:Dermoscopy / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008545:Melanoma / Q000175:diagnosis* / Q000473:pathology*; D018329:Nevus, Blue / Q000175:diagnosis* / Q000473:pathology; D010363:Pattern Recognition, Automated / Q000379:methods; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D012880:Skin Pigmentation