Deep learning-based mobile trimodal otoscope for better discrimination between adhesive and otitis media with effusion

Thiago Cavalcanti Coutinho; Kyungsu Lee; Chaewon Lee; Jae Youn Hwang

doi:10.1117/12.3001395

13 March 2024 Deep learning-based mobile trimodal otoscope for better discrimination between adhesive and otitis media with effusion

Thiago Cavalcanti Coutinho, Kyungsu Lee, Chaewon Lee, Jae Youn Hwang

Author Affiliations +

Proceedings Volume PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII; PC128460F (2024) https://doi.org/10.1117/12.3001395
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Otoscopy is an important procedure for the diagnosis of otitis media allowing examiners to visually inspect a patient's eardrum. However, a traditional otoscope enables imaging of the target under white light only, limiting the capability to assess color differences and tympanum morphology, which are distinguishing features in the diagnosis of otitis media. We present a smartphone-attachable trimodal otoscope head capable of spectral, autofluorescence, and photometric 3D stereo imaging. This device uses LEDs, optical fibers, and a smartphone camera to collect quantitative spectral signatures and qualitative morphological data that carry information about the biochemistry and 3D morphology of the sampled eardrum and middle ear to aid examiners in providing precise diagnosis with ubiquitous connectivity and portability of a smartphone device, which is beneficial in telemedicine applications. Finally, we collected normal, otitis media with effusion, and adhesive otitis media data and evaluated our device’s capabilities using deep-learning classifiers.

Conference Presentation

Citation Download Citation

Thiago Cavalcanti Coutinho, Kyungsu Lee, Chaewon Lee, and Jae Youn Hwang "Deep learning-based mobile trimodal otoscope for better discrimination between adhesive and otitis media with effusion", Proc. SPIE PC12846, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXII, PC128460F (13 March 2024); https://doi.org/10.1117/12.3001395

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