Radiologists with and without deep learning-based computer-aided diagnosis : comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses

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DOI[10.1007/s00330-022-08948-4]to the data of the same series

Radiologists with and without deep learning-based computer-aided diagnosis : comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses

Persistent ID (NDL): info:ndljp/pid/13729155

Material type: 博士論文

Author: 綿谷, 朋大

Publisher: 綿谷, 朋大

Publication date: 2023

Material Format: Digital

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Name of awarding university/degree: 大阪大学,博士(医学)

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Material Type: 博士論文
Title: Radiologists with and without deep learning-based computer-aided diagnosis : comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses
Author/Editor: 綿谷, 朋大
Publication, Distribution, etc.: 綿谷, 朋大
Publication Date: 2023
Publication Date (W3CDTF): 2023
Alternative Title: 深層学習を用いたコンピュータ支援診断が、放射線科医による肺結節/腫瘤の性状評価能や診断能、及び放射線科医間の評価再現性に与える効果の検討
Degree grantor/type: 大阪大学
Date Granted: 2023-03-23
Date Granted (W3CDTF): 2023-03-23
Dissertation Number: 甲第22807号
Degree Type: 博士(医学)
Text Language Code: eng
Alias of Author: Wataya, Tomohiro
DOI: 10.1007/s00330-022-08948-4
https://doi.org/10.1007/s00330-022-08948-4
Persistent ID (NDL): info:ndljp/pid/13729155
https://dl.ndl.go.jp/pid/13729155
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（送信）
Date Accepted (W3CDTF): 2024-07-30T15:54:07+09:00
Format (IMT): application/pdf
Access Restrictions: 非公開
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