Automated detection of otosclerosis with interpretable deep learning using temporal bone computed tomography images

• Published in: Heliyon Vol. 10; no. 8; p. e29670
• Main Authors: Wang, Zheng, Song, Jian, Lin, Kaibin, Hong, Wei, Mao, Shuang, Wu, Xuewen, Zhang, Jianglin
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 30.04.2024; Elsevier
• Subjects: Area under the receiver operating characteristic curve; automation; Computed tomography; Deep learning; females; Interpretability; males; Temporal bone computed tomography; Deep learning; Temporal bone computed tomography; Area under the receiver operating characteristic curve; Computed tomography; Interpretability
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2024.e29670

This study aimed to develop an automated detection schema for otosclerosis with interpretable deep learning using temporal bone computed tomography images. With approval from the institutional review board, we retrospectively analyzed high-resolution computed tomography scans of the temporal bone of...