Title
Automatic discrimination of actinic keratoses from clinical photographs.
Abstract
•Use of clinical photography to quantify actinic keratoses burden.•Evaluate the outcome of field-directed treatment interventions.•Follow-up patients with actinic keratoses by means of clinical photography.•SVM model for the discrimination of actinic keratoses from healthy skin.•Color texture analysis based on LBP or texton frequency histograms.
Year
DOI
Venue
2017
10.1016/j.compbiomed.2017.07.001
Computers in Biology and Medicine
Keywords
Field
DocType
Actinic keratosis,Clinical photography,Color texture analysis,Local binary patterns,Textons,Support vector machines
Computer vision,Histogram,Color space,Pattern recognition,Texton,Support vector machine,Local binary patterns,Actinic keratosis,RGB color model,Artificial intelligence,Classifier (linguistics),Medicine
Journal
Volume
ISSN
Citations 
88
0010-4825
1
PageRank 
References 
Authors
0.38
14
4
Name
Order
Citations
PageRank
Panagiota Spyridonos122217.43
Georgios Gaitanis261.50
aristidis likas31926140.40
Ioannis D Bassukas461.50