A Proposal of Schema Recognition Considering Annotations for Medical Document Retrieval
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- Kajiwara H
- Graduate School of Engineering/Mie University
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- Kawanaka H
- Graduate School of Engineering/Mie University
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- Yamamoto K
- Suzuka University of Medical Science
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- Takase H
- Graduate School of Engineering/Mie University
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- Tsuruoka S
- Graduate School of Regional Innovation Studies, Mie University
Bibliographic Information
- Other Title
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- 医療文書検索を目的としたシェーマ認識手法の提案とその評価
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Abstract
Recently, a lot of medical documents have been computerized. On the other hand, a large amount of paper-based documents are still archived and they are not still reused effectively. Previously we discussed document image recognition methods for medical/clinical documents and their applications. We also discussed the recognition method for schema images in the document. However, annotations written in the schema made the feature vector change drastically, as a result the recognition accuracy was reduced. In this paper, we proposed a schema recognition method considering annotations. 30 kinds of actual schema images used in hospital were employed as experimental materials. After evaluation experiments, the recognition accuracy was improved to 95.27%.
Journal
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- Japan Journal of Medical Informatics
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Japan Journal of Medical Informatics 34 (2), 65-73, 2014
Japan Association for Medical Informatics
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Details 詳細情報について
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- CRID
- 1390282680728142080
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- NII Article ID
- 130005148389
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- ISSN
- 21888469
- 02898055
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed