Name
Title | ||
|---|---|---|
Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning. |
Abstract | ||
|---|---|---|
Aim: Sensorineural hearing loss (SNHL) is correlated to many neurodegenerative disease. Now more and more computer vision based methods are using to detect it in an automatic way. Materials: We have in total 49 subjects, scanned by 3.0T MRI (Siemens Medical Solutions, Erlangen, Germany). The subjects contain 14 patients with right-sided hearing loss (RHL), 15 patients with left-sided hearing loss (LHL), and 20 healthy controls (HC). Method: We treat this as a three-class classification problem: RHL, LHL, and HC. Wavelet entropy (WE) was selected from the magnetic resonance images of each subjects, and then submitted to a directed acyclic graph support vector machine (DAG-SVM). Results: The 10 repetition results of 10-fold cross validation shows 3-level decomposition will yield an overall accuracy of 95.10% for this three-class classification problem, higher than feedforward neural network, decision tree, and naive Bayesian classifier. Conclusions: This computer-aided diagnosis system is promising. We hope this study can attract more computer vision method for detecting hearing loss. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3389/fncom.2016.00106 | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE |
Keywords | Field | DocType |
unilateral hearing loss,sensorineural hearing loss,wavelet entropy,support vector machine,directed acyclic graph,confusion matrix,computer aided diagnosis | Decision tree,Confusion matrix,Sensorineural hearing loss,Computer science,Computer-aided diagnosis,Support vector machine,Speech recognition,Directed acyclic graph,Hearing loss,Unilateral hearing loss,Artificial intelligence,Machine learning | Journal |
Volume | ISSN | Citations |
10 | 1662-5188 | 15 |
PageRank | References | Authors |
0.64 | 22 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuihua Wang | 1 | 1564 | 87.49 |
| Ming Yang | 2 | 242 | 26.75 |
| Sidan Du | 3 | 65 | 5.35 |
| Ji Quan Yang | 4 | 386 | 15.95 |
| Bin Liu | 5 | 191 | 35.02 |
| Juan Manuel Górriz Sáez | 6 | 289 | 35.14 |
| Javier Ramírez | 7 | 656 | 68.23 |
| Ti-Fei Yuan | 8 | 15 | 1.32 |
| yudong zhang | 9 | 1334 | 90.44 |