https://scholars.lib.ntu.edu.tw/handle/123456789/629457
標題: | Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions | 作者: | Xue, Zhiyun Yu, Kelly Pearlman, Paul TSENG-CHENG CHEN Hua, Chun Hung Kang, Chung Jan Chien, Chih Yen Tsai, Ming Hsui CHENG-PING WANG Chaturvedi, Anil Antani, Sameer |
關鍵字: | cross-dataset evaluation | deep learning | digits detection | Oral images | ruler measurement | ruler segmentation | 公開日期: | 1-一月-2022 | 卷: | 2022-August | 來源出版物: | Proceedings - International Conference on Pattern Recognition | 摘要: | Small ruler tapes are commonly placed on the surface of the human body as a simple and efficient reference for capturing on images the physical size of a lesion. In this paper, we describe our proposed approach for automatically extracting the measurement information from a ruler in oral cavity images which are taken during oral cancer screening and follow up. The images were taken during a study that aims to investigate the natural history of histologically defined oral cancer precursor lesions and identify epidemiologic factors and molecular markers associated with disease progression. Compared to similar work in the literature proposed for other applications where images are captured with greater consistency and in more controlled situations, we address additional challenges that our application faces in real world use and with analysis of retrospectively collected data. Our approach considers several conditions with respect to ruler style, ruler visibility completeness, and image quality. Further, we provide multiple ways of extracting ruler markings and measurement calculation based on specific conditions. We evaluated the proposed method on two datasets obtained from different sources and examined cross-dataset performance. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/629457 | ISBN: | 9781665490627 | ISSN: | 10514651 | DOI: | 10.1109/ICPR56361.2022.9956251 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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