Optical detection of otitis media using modified spectroscopic otoscope

Hu, Lingna; Li, Wansha; Lin, Hua; Li, Ying; Svanberg, Katarina; Zhao, Guangyu; Zhang, Hao; Svanberg, Sune

doi:10.1109/acp.2018.8595778

2018 Asia Communications and Photonics Conference (ACP) 2018

DOI: 10.1109/acp.2018.8595778

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Optical detection of otitis media using modified spectroscopic otoscope

Lingna Hu

Wansha Li

Hua Lin

et al.

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2024

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Cited by 1 publication

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OTONet: Deep Neural Network for Precise Otoscopy Image Classification

Rao,

Singh,

Kamath

et al. 2024

IEEE Access

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Otoscopy is a diagnostic procedure to visualize the external ear canal and eardrum, facilitating the detection of various ear pathologies and conditions. Timely otoscopy image classification offers significant advantages, including early detection, reduced patient anxiety, and personalized treatment plans. This paper introduces a novel OTONet framework specifically tailored for otoscopy image classification. It leverages octave 3D convolution and a combination of feature and region-focus modules to create an accurate and robust classification system capable of distinguishing between various otoscopic conditions. This architecture is designed to efficiently capture and process the spatial and feature information present in otoscopy images. Using a public otoscopy dataset, OTONet has reached a classification accuracy of 99.3% and an F1 score of 99.4% across 11 classes of ear conditions. A comparative analysis demonstrates that OTONet surpasses other established machine learning models, including ResNet50, ResNet50v2, VGG16, Dense-Net169, and ConvNeXtTiny, across various evaluation metrics. The research's contribution to improved diagnostic accuracy reduced human error, expedited diagnostics, and its potential for telemedicine applications.

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OTONet: Deep Neural Network for Precise Otoscopy Image Classification

Rao,

Singh,

Kamath

et al. 2024

IEEE Access

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show abstract

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Optical detection of otitis media using modified spectroscopic otoscope

Cited by 1 publication

References 12 publications

OTONet: Deep Neural Network for Precise Otoscopy Image Classification

OTONet: Deep Neural Network for Precise Otoscopy Image Classification

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