A Novel Method for Audiogram Digitization in Audiological Reports Article Swipe
Ta-Wei Yang
,
Chen-Yu Yang
,
Yen‐Hui Lee
,
Pey‐Yu Chen
,
Pei‐Hsuan Lin
,
Wei-Cheng Wu
,
Chen‐Chi Wu
,
Cheng‐Fu Chou
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3375362
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3375362
An audiogram records the hearing status, including each hearing threshold at multiple frequencies. While deep learning is gradually maturing in the clinical research approach, audiologists could speed up their diagnostic process with audiogram digitization for handwritten graphs or electronically generated images from instruments. However, given the diversity of audiogram symbols and formats, the existing audiogram digitization model has room for improvement in recognition accuracy. We propose a multi-stage workflow to enhance accuracy by integrating YOLOv5 and the optical character recognition (OCR) model. Our proposed audiogram digitization model could identify all audiogram symbols with an accuracy rate of 98%. We hope that this model could help future research in audiology.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3375362
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10464288.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392667323
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392667323Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2024.3375362Digital Object Identifier
- Title
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A Novel Method for Audiogram Digitization in Audiological ReportsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Ta-Wei Yang, Chen-Yu Yang, Yen‐Hui Lee, Pey‐Yu Chen, Pei‐Hsuan Lin, Wei-Cheng Wu, Chen‐Chi Wu, Cheng‐Fu ChouList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2024.3375362Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10464288.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10464288.pdfDirect OA link when available
- Concepts
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Audiogram, Digitization, Computer science, Audiometry, Workflow, Artificial intelligence, Speech recognition, Audiology, Pattern recognition (psychology), Hearing loss, Medicine, Computer vision, DatabaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
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2025: 5, 2024: 1Per-year citation counts (last 5 years)
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-
10Other works algorithmically related by OpenAlex
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