Performance Comparison of Convolutional Neural Network-Based Hearing Loss Classification Model Using Auditory Brainstem Response Data

Exploring foci of: Diagnostics • Vol 14 • No 12 Performance Comparison of Convolutional Neural Network-Based Hearing Loss Classification Model Using Auditory Brainstem Response Data June 2024 • Jun Ma, Seong Jun Choi, Sungyeup Kim, Min Hong This study evaluates the efficacy of several Convolutional Neural Network (CNN) models for the classification of hearing loss in patients using preprocessed auditory brainstem response (ABR) image data. Specifically, we employed six CNN architectures—VGG16, VGG19, DenseNet121, DenseNet-201, AlexNet, and InceptionV3—to differentiate between patients with hearing loss and those with normal hearing. A dataset comprising 7990 preprocessed ABR images was utilized to assess the performance and accuracy of these models. … Open Article Page

Computer Science Convolutional Neural Network Artificial Intelligence Deep Learning Machine Learning Audiology Medicine Open Article