https://scholars.lib.ntu.edu.tw/handle/123456789/641273
標題: | A Novel Method for Audiogram Digitization in Audiological Reports | 作者: | Yang, Ta Wei Yang, Chen Yu Lee, Yen Hui Chen, Pey Yu PEI-HSUAN LIN Wu, Wei Cheng CHEN-CHI WU CHENG-FU CHOU |
關鍵字: | Audiogram | Auditory system | chart recognition | Data mining | digitization | Ear | Electronic healthcare | Hospitals | Medical diagnostic imaging | Optical character recognition | Symbols | 公開日期: | 1-一月-2024 | 卷: | 12 | 來源出版物: | IEEE Access | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/641273 | ISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2024.3375362 |
顯示於: | 醫學系 |
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