Yudong Zhang1, Deepak Ranjan Nayak, Ming Yang, Ti-Fei Yuan, Bin Liu, Huimin Lu, Shuihua Wang2.
Abstract
AIM: Sensorineural hearing loss is correlated to massive neurological or psychiatric disease. MATERIALS: T1-weighted volumetric images were acquired from fourteen subjects with right-sided hearing loss (RHL), fifteen subjects with left-sided hearing loss (LHL), and twenty healthy controls (HC).
METHOD: We treated a three-class classification problem: HC, LHL, and RHL. Stationary wavelet entropy was employed to extract global features from magnetic resonance images of each subject. Those stationary wavelet entropy features were used as input to a single-hidden layer feedforward neuralnetwork classifier.
RESULTS: The 10 repetition results of 10-fold cross validation show that the accuracies of HC, LHL, and RHL are 96.94%, 97.14%, and 97.35%, respectively.
CONCLUSION: Our developed system is promising and effective in detecting hearing loss. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
AIM: Sensorineural hearing loss is correlated to massive neurological or psychiatric disease. MATERIALS: T1-weighted volumetric images were acquired from fourteen subjects with right-sided hearing loss (RHL), fifteen subjects with left-sided hearing loss (LHL), and twenty healthy controls (HC).
METHOD: We treated a three-class classification problem: HC, LHL, and RHL. Stationary wavelet entropy was employed to extract global features from magnetic resonance images of each subject. Those stationary wavelet entropy features were used as input to a single-hidden layer feedforward neuralnetwork classifier.
RESULTS: The 10 repetition results of 10-fold cross validation show that the accuracies of HC, LHL, and RHL are 96.94%, 97.14%, and 97.35%, respectively.
CONCLUSION: Our developed system is promising and effective in detecting hearing loss. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Entities:
Keywords:
Computer-aided diagnosis; sensorineural hearing loss; single-hidden layer feed forward neural-network; stationaryzzm321990wavelet entropy; unilateral hearing loss
Mesh：
Year: 2017
PMID： 27784224 DOI： 10.2174/1871527315666161026115046
Source DB: PubMed Journal: CNS Neurol Disord Drug Targets ISSN： 1871-5273 Impact factor: 4.388