FDG uptake heterogeneity evaluated by fractal analysis improves the differential diagnosis of pulmonary nodules 83 4

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DOI[10.15017/1500540]to the data of the same series

FDG uptake heterogeneity evaluated by fractal analysis improves the differential diagnosis of pulmonary nodules

Persistent ID (NDL): info:ndljp/pid/9424830

Material type: 博士論文

Author: 三輪, 建太

Publisher: -

Publication date: 2015-03-25

Material Format: Digital

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Name of awarding university/degree: 九州大学,博士（保健学）

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Material Type: 博士論文
ISSN: 0720-048X
Title: FDG uptake heterogeneity evaluated by fractal analysis improves the differential diagnosis of pulmonary nodules
Volume: 83 4
Author/Editor: 三輪, 建太
Author Heading: 三輪, 建太
Publication Date: 2015-03-25
Publication Date (W3CDTF): 2015-03-25
Alternative Title: 肺結節病変の18ＦＤＧ集積分布の不均一性による良悪性鑑別
Contributor: 豊福, 不可依
平田, 秀紀
大喜, 雅文
Periodical title: European Journal of Radiology
Degree grantor/type: 九州大学
Date Granted: 2015-03-25
Date Granted (W3CDTF): 2015-03-25
Dissertation Number: 甲第12341号
Degree Type: 博士（保健学）
Conferring No. (Dissertation): 甲第12341号
Text Language Code: eng
Target Audience: 一般
Note (General): 元資料の権利情報 : 全文ファイル公表済
元資料の権利情報 : Fulltext available.
元資料の権利情報 : (C)2013 Elsevier Ireland Ltd.
開始ページ : 715
終了ページ : 719
DOI: 10.15017/1500540
https://doi.org/10.15017/1500540
Persistent ID (NDL): info:ndljp/pid/9424830
https://dl.ndl.go.jp/pid/9424830
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（自動収集）
Date Accepted (W3CDTF): 2015-07-01T13:17:09+09:00
Date Created (W3CDTF): 2015-05-07
Format (IMT): application/pdf
Access Restrictions: 国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
Availability of remote photoduplication service: 可
Periodical Title (URI): http://dx.doi.org/10.15017/1500540
http://hdl.handle.net/2324/1500540
Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション
https://dl.ndl.go.jp

FDG uptake heterogeneity evaluated by fractal analysis improves the differential diagnosis of pulmonary nodules

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