APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection
Abstract As a hearing disorder, sensorineural hearing loss (SNHL) can be effectively detected by magnetic resonance imaging (MRI). However, the manual detection of MRI scanning is subjective, time‐consuming, and unpredictable. An accurate and automatic computer‐aided diagnosis system is proposed for...
Saved in:
| Main Authors: | Jingyuan Yang, Yu‐Dong Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
|
| Series: | IET Biometrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/bme2.12114 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Micronutrients Levels in Sensorineural Hearing Loss
by: Vhaishakh Nayar, et al.
Published: (2025-04-01) -
Methadone Induced Sensorineural Hearing Loss
by: Chadi Saifan, et al.
Published: (2013-01-01) -
The Benefit of Binaural Hearing Among Listeners with Sensorineural Hearing Loss
by: Anna PASTUSIAK, et al.
Published: (2019-11-01) -
Prevalence Of Sensorineural Hearing Loss Among Stroke
by: Zarafshan Ahsan, et al.
Published: (2024-12-01) -
Ocular Manifestations in Patients with Sensorineural Hearing Loss
by: Haniah A. Zaheer, et al.
Published: (2022-11-01)