Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-09-06
Computerized Medical Imaging and Graphics 32 (2008) 670-677
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
10.1016/j.compmedimag.2008.08.00
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.
Argenziano Giuseppe
Celebi Emre M.
Iyatomi Hitoshi
Moss Randy H.
Rabinovitz Harold S.
No associations
LandOfFree
Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-297882