디지털콘텐츠학회 논문지 (Journal of Digital Contents Society)

  • 제17권3호
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  • Pages.197-202
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  • 2016
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  • 1598-2009(pISSN)
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  • 2287-738X(eISSN)
한국디지털콘텐츠학회 (Digital Contents Society)
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의료이미지 데이터의 동적 분석을 위한 패턴 정형화 기술

Pattern Formalization Technique for Dynamic Analysis of the Medical Image Data

  • Ko, Kwang-man (Sangji University School of Computer and Information Engineering)
  • 투고 : 2016.05.09
  • 심사 : 2016.06.30
  • 발행 : 2016.06.30
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초록

이 논문에서는 비정형 의료이미지 정형화 및 패턴 추출을 위해, 의료기기 또는 의료전문가로부터 생성 또는 감지되는 의료이미지 저장을 위한 데이터베이스 구축한다. 이러한 비정형 이미지의 특징을 정형화된 디지털 데이터로 변환한 후 정형화된 디지털 이미지 데이터로부터 의미있는 패턴 정보를 생성한다. 이러한 경험 기술 소개를 통해 많은 연구자들은 의료이미지 데이터베이스를 보다 쉽게 접근할 수 있고 다양한 분야에서 정형화된 의료이미지를 활용할 수 있다.

This paper suggested that medical image database construction technique that generated and recognized from variable medical device and professional medical experts for the formalization and pattern extraction from informal medical images. And then we transformed informal image characteristics to digital data, and generated the meaningful pattern matching informations. Through this experienced works, so many related researchers can easily access the medical images database and use this formalized image informations on the variable fields.

키워드

참고문헌

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피인용 문헌

  1. Platform Implementation for Developing a Mobile Content-Based Image Retrieval Application vol.15, pp.11, 2017, https://doi.org/10.14801/jkiit.2017.15.11.1
  2. Performance comparison of Image De-nosing Techniques based on Color Model Transformation vol.18, pp.8, 2016, https://doi.org/10.9728/dcs.2017.18.8.1641