지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.6 No.2
- 발행연도
- 2012.6
- 수록면
- 168 - 177 (10page)
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초록· 키워드
오류제보하기
The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients’ cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. BUILDING BLOCKS FOR ADVANCED INFORMATION SERVICES
Ⅲ. TEXT PROCESSING
Ⅳ. IMAGE PROCESSING
Ⅴ. MULTI-PANEL FIGURE SEGMENTATION
Ⅵ. OPENI SYSTEM ARCHITECTURE
Ⅶ. OPENI IMAGE RETRIEVAL SYSTEM
Ⅷ. RELATED WORK
Ⅸ. EVALUATION
Ⅹ. FUTURE WORK
ACKNOWLEDGMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-569-002680369