Name
Abstract | ||
|---|---|---|
The clinical diagnosis of voice pathologies is based on examination of structural defect of the vocal folds with video laryngostroboscope. Clinical studies show that pathologies not only cause vocal fold mulfunction but also effect the visual characteristics of blood vessels on the superior surface of vocal folds. In this article, we propose a novel system that extracts the vocal folds vessels in the images acquired during routine videolaryngostroboscopy and help physicians in presenting the relationship between blood vessel defect and vocal fold pathologies. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SIU.2012.6204610 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
blood vessels,medical image processing,video signal processing,clinical diagnosis,videolaryngostroboscopy images,visible vessels detection,visual characteristics,vocal fold blood vessel defect,vocal fold pathologies,vocal folds structural defect,voice pathologies | Computer vision,Anatomy,Vocal folds,Medical imaging,Computer science,Artificial intelligence,Clinical diagnosis,Blood vessel | Conference |
ISBN | Citations | PageRank |
978-1-4673-0054-4 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Irem Türkmen | 1 | 20 | 3.93 |
| M. Elif Karsligil | 2 | 73 | 13.69 |
| Ismail Kocak | 3 | 1 | 1.37 |