Confusion Matrices Comparison of Deep Learning Models for Classifying Stroke and HI Disorders.

<p>(a) ResNet-18, (b) Inception V3, (c) SEResNeXt-18.</p>

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Bibliographic Details
Main Author:	Joo Kyung Park (7341245) (author)
Other Authors:	Sae Byeol Mun (21439567) (author), Young Jae Kim (8098697) (author), Kwang Gi Kim (10654900) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Mental Health Biological Sciences not elsewhere classified voice data resulting comparing voice data achieve effective classification abnormal voice data including congenital conditions deep learning model deep learning based classification various conditions specific conditions xlink "> using ai used changes speech disorder specific etiologies remains limited outcomes suggest normal individuals neurological damage medical professionals inception v3 hearing impairments feature extraction experimentally developed artificial intelligence
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