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Classification of Histological Types of Primary Lung Cancer from CT Images Using Clinical Information
http://hdl.handle.net/10228/0002001644
http://hdl.handle.net/10228/0002001644951c276f-3033-4ab8-83fe-12328135f16c
| 名前 / ファイル | ライセンス | アクション |
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| Item type | 共通アイテムタイプ(1) | |||||||||||||
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| 公開日 | 2025-04-24 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Classification of Histological Types of Primary Lung Cancer from CT Images Using Clinical Information | |||||||||||||
| 言語 | en | |||||||||||||
| 著者 |
Honda, Naoya
× Honda, Naoya
× 神谷, 亨
WEKO
402
× Kido, Shoji
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| 著作権関連情報 | ||||||||||||||
| 言語 | en | |||||||||||||
| 権利情報 | Copyright (c) ACM 2024. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Publication, https://doi.org/10.1145/3678935.3678969. | |||||||||||||
| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Identification of primary lung cancer is very important because it influences the course of treatment, especially for small cell carcinomas, which metastasize rapidly and have to be detected at an early stage. In addition to imaging, clinical information is often used in CAD (computer aided diagnosis) systems. Especially, clinical information such as smoking history, which is considered to be important in the diagnosis of lung cancer. In this paper, we propose a method to identify primary lung cancer by adding clinical information from medical records in addition to images to improve the accuracy of diagnosis. We use tumor images surrounded by rectangular regions from CT images in an open dataset as input images and train the method based on deep learning technique. We evaluate the proposed method by discriminating tumors from unknown data. In our experiments, we found that the accuracy was improved about 6% when clinical information was added to 604 images, which included four classes of cancer; adenocarcinoma, small cell carcinoma, squamous cell carcinoma, and large cell carcinoma. | |||||||||||||
| 言語 | en | |||||||||||||
| 備考 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | ICBET 2024: 2024 14th International Conference on Biomedical Engineering and Technology, June 14 - 17, 2024, Seoul Republic of Korea | |||||||||||||
| 言語 | en | |||||||||||||
| 書誌情報 |
en : ICBET '24: Proceedings of the 2024 14th International Conference on Biomedical Engineering and Technology p. 128-132, 発行日 2024-10-12 |
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| 出版社 | ||||||||||||||
| 出版者 | ACM | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | CT Image | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Computer Aided Diagnosis | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Machine Learning | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Deep Learning | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | ResNet | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | ResNet-D | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | SE-Block | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Standardization | |||||||||||||
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| 言語 | en | |||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Multimodal | |||||||||||||
| 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_6501 | |||||||||||||
| 資源タイプ | journal article | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | AM | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||
| DOI | ||||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1145/3678935.3678969 | |||||||||||||
| ISBN | ||||||||||||||
| 識別子タイプ | ISBN | |||||||||||||
| 関連識別子 | 979-8-4007-1762-8 | |||||||||||||
| 会議記述 | ||||||||||||||
| 会議名 | ICBET 2024: 2024 14th International Conference on Biomedical Engineering and Technology | |||||||||||||
| 言語 | en | |||||||||||||
| 回次 | 14 | |||||||||||||
| 開始年 | 2024 | |||||||||||||
| 開始月 | 06 | |||||||||||||
| 開始日 | 14 | |||||||||||||
| 終了年 | 2024 | |||||||||||||
| 終了月 | 06 | |||||||||||||
| 終了日 | 17 | |||||||||||||
| 開催国 | KOR | |||||||||||||
| 査読の有無 | ||||||||||||||
| 値 | yes | |||||||||||||
| 研究者情報 | ||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/25_ja.html | |||||||||||||
| 論文ID(連携) | ||||||||||||||
| 値 | 10450816 | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 14415 | |||||||||||||