Deep Learning-Assisted Prediction of Air-Bone Gap Using Tympanic Membrane Perforation Image Features.

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Bibliographic Details
Title: Deep Learning-Assisted Prediction of Air-Bone Gap Using Tympanic Membrane Perforation Image Features.
Authors: Liu TY; Department of Otolaryngology, Hsinchu Cathay General Hospital, Hsinchu, Taiwan.; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Chang HC; Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan., Wang PC; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan.; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan., Hsu SY; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan.; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; School of Medicine, National Tsing Hua University, Hsinchu, Taiwan., Fang TY; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan.; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; Department of Otolaryngology, Sijhih Cathay General Hospital, New Taipei City, Taiwan., Pham VT; Department of Automation Engineering, Hanoi University of Science and Technology, Vietnam., Tran TT; Department of Automation Engineering, Hanoi University of Science and Technology, Vietnam., Lin C; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Lo MT; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Source: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery [Otolaryngol Head Neck Surg] 2026 Feb; Vol. 174 (2), pp. 403-412. Date of Electronic Publication: 2025 Nov 18.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8508176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6817 (Electronic) Linking ISSN: 01945998 NLM ISO Abbreviation: Otolaryngol Head Neck Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1097-6817
DOI:10.1002/ohn.70074