Downloads: 64

Files in This Item:
File Description SizeFormat 
dnikk00083.pdfDissertation_全文3.43 MBAdobe PDFView/Open
ynikk00083.pdfAbstract_要旨171.39 kBAdobe PDFView/Open
Title: Quantitative image analysis for prognostic prediction in lung SBRT
Other Titles: 肺定位放射線治療における予後予測に向けた定量的画像解析
Authors: Kakino, Ryo
Author's alias: 柿野, 諒
Keywords: Contrast enhancement
Diagnostic computed tomography
Non-small cell lung cancer
Radiomics
Stereotactic body radiation therapy
Distant metastasis
Random survival forest
Issue Date: 23-Mar-2021
Publisher: Kyoto University
Conferring University: 京都大学
Degree Level: 新制・課程博士
Degree Discipline: 博士(人間健康科学)
Degree Report no.: 甲第23121号
Degree no.: 人健博第83号
Degree Call no.: 新制||人健||6(附属図書館)
Degree Affiliation: 京都大学大学院医学研究科人間健康科学系専攻
Examination Committee members: (主査)教授 椎名 毅, 教授 藤井 康友, 教授 平井 豊博
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
DOI: 10.14989/doctor.k23121
URI: http://hdl.handle.net/2433/263582
dc.relation.haspart: https://doi.org/10.1016/j.ejmp.2019.12.019
https://doi.org/10.1002/mp.14380
Appears in Collections:060 Doctoral Dissertation (Human Health Science)

Show full item record

Export to RefWorks


Export Format: 


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.