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Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions

  • Zhiyun Xue
  • , Kelly Yu
  • , Paul Pearlman
  • , Tseng Cheng Chen
  • , Chun Hung Hua
  • , Chung Jan Kang
  • , Chih Yen Chien
  • , Ming Hsui Tsai
  • , Cheng Ping Wang
  • , Anil Chaturvedi
  • , Sameer Antani
  • National Institutes of Health
  • National Taiwan University
  • China Medical University Taichung
  • Chang Gung Memorial Hospital

研究成果: 圖書/報告稿件的類型會議稿件同行評審

4 引文 斯高帕斯(Scopus)

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.

原文英語
主出版物標題2022 26th International Conference on Pattern Recognition, ICPR 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4241-4247
頁數7
ISBN(電子)9781665490627
DOIs
出版狀態已出版 - 2022
對外發佈
事件26th International Conference on Pattern Recognition, ICPR 2022 - Montreal, 加拿大
持續時間: 21 08 202225 08 2022

出版系列

名字Proceedings - International Conference on Pattern Recognition
2022-August
ISSN(列印)1051-4651

Conference

Conference26th International Conference on Pattern Recognition, ICPR 2022
國家/地區加拿大
城市Montreal
期間21/08/2225/08/22

文獻附註

Publisher Copyright:
© 2022 IEEE.

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG3 健康與福祉
    SDG3 健康與福祉

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