A comparative study of modern machine learning approaches for focal lesion detection and classification in medical images: BoVW, CNN and MTANN

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Material Type: 図書
Title: A comparative study of modern machine learning approaches for focal lesion detection and classification in medical images: BoVW, CNN and MTANN
Author/Editor: 鈴木, 賢治
Suzuki, Kenji
Author Heading: 鈴木, 賢治
Suzuki, Kenji
Publication, Distribution, etc.: Springer
Publication Date: 2018-01
Publication Date (W3CDTF): 2018
Alternative Title: A comparative study of modern machine learning approaches for focal lesion detection and classification in medical images: BoVW, CNN and MTANN
Periodical title: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
No. or year of volume/issue: 140
Volume: 140
Pages: 31-58
ISSN (Periodical Title): ISSN : 1868-4408
ISSN : 1868-4394
Target Audience: 一般
Note (General): 出版タイプ： NA
identifier:oai:t2r2.star.titech.ac.jp:50532244
Related Material (DOI): 10.1007/978-3-319-68843-5_2
https://doi.org/10.1007/978-3-319-68843-5_2
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 東京科学大学 : 東京科学大学リサーチリポジトリ(T2R2)