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 Spyridonos | 1 | 222 | 17.43 |
Georgios Gaitanis | 2 | 6 | 1.50 |
aristidis likas | 3 | 1926 | 140.40 |
Ioannis D Bassukas | 4 | 6 | 1.50 |