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Semantic Characteristics Prediction of Pulmonary Nodule Using Artificial Neural Networks
http://hdl.handle.net/10228/5867
http://hdl.handle.net/10228/5867a95d7501-e72f-4d35-8036-b9f953498524
名前 / ファイル | ライセンス | アクション |
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Item type | 会議発表論文 = Conference Paper(1) | |||||
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公開日 | 2016-11-04 | |||||
タイトル | ||||||
タイトル | Semantic Characteristics Prediction of Pulmonary Nodule Using Artificial Neural Networks | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
Li, Guangxu
× Li, Guangxu× Kim, Hyoungseop× Tan, Joo Kooi× Ishikawa, Seiji× Hirano, Yasushi× Kido, Shoji× Tachibana, Rie |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Since it is difficult to choose which computer calculated features are effective to predict the malignancy of pulmonary nodules, in this study, we add a semantic-level of Artificial Neural Networks (ANNs) structure to improve intuition of features selection. The works of this study include two: 1) seeking the relationships between computer-calculated features and medical semantic concepts which could be understood by human; 2) providing an objective assessment method to predict the malignancy from semantic characteristics. We used 60 thoracic CT scans collected from the Lung Image Database Consortium (LIDC) database, in which the suspicious lesions had been delineated and annotated by 4 radiologists independently. Corresponding to the two works of this study, correlation analysis experiment and agreement experiment were performed separately. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), July 3-7, 2013, Osaka, Japan | |||||
書誌情報 |
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE p. 5465-5468, 発行日 2013-09-26 |
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出版者 | ||||||
出版者 | IEEE | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1094-687X | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1558-4615 | |||||
ISBN | ||||||
識別子タイプ | ISBN | |||||
関連識別子 | 978-1-4577-0216-7 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1109/EMBC.2013.6610786 | |||||
情報源 | ||||||
識別子タイプ | URI | |||||
関連識別子 | DOI: 10.1109/EMBC.2013.6610786 | |||||
関連名称 | DOI: 10.1109/EMBC.2013.6610786 | |||||
権利 | ||||||
権利情報 | Copyright (c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||
版 | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
査読の有無 | ||||||
値 | yes | |||||
研究者情報 | ||||||
https://hyokadb02.jimu.kyutech.ac.jp/html/25_ja.html | ||||||
連携ID | ||||||
5753 |