Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network

Detailed bibliographic record

Summary, etc.：: <p>The goal of this study was to investigate the survival prediction of squamous cell head and neck cancer (SCHNC) patients by using radiomic features...

Search by Bookstore

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Teikyo University Research & Education Repository
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
Teikyo University Research & Education Repository

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Material Type: 文書・図像類
Title: Survival prediction of squamous cell head and neck cancer patients based on radiomic features selected from lung cancer patients using artificial neural network
Author/Editor: 亀澤, 秀美
Arimura, H.
Soufi, M.
Author Heading: 亀澤, 秀美
Arimura, H.
Soufi, M.
Publication Date: 2018
Publication Date (W3CDTF): 2018
Periodical title: Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
ISBN (Periodical Title): 9781510616479
ISSN (Periodical Title): ISSN : 1605-7422
Text Language Code: eng
Target Audience: 一般
Collection (particular): Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Is Version Of (DOI): 10.1117/12.2293415
https://doi.org/10.1117/12.2293415
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): 帝京大学 : 帝京大学研究・教育リポジトリ