A fully automated artificial intelligence system to assist pathologists' diagnosis to predict histologically high-grade urothelial carcinoma from digitized urine cytology slides using deep learning

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国立国会図書館デジタルコレクション

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DOI[10.1016/j.euo.2023.11.009]to the data of the same series

A fully automated artificial intelligence system to assist pathologists' diagnosis to predict histologically high-grade urothelial carcinoma from digitized urine cytology slides using deep learning

Persistent ID (NDL): info:ndljp/pid/13702160

Material type: 博士論文

Author: 辻, 恵介

Publisher: 辻, 恵介

Publication date: 2024

Material Format: Digital

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Name of awarding university/degree: 京都府立医科大学,博士(医学)

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Material Type: 博士論文
Title: A fully automated artificial intelligence system to assist pathologists' diagnosis to predict histologically high-grade urothelial carcinoma from digitized urine cytology slides using deep learning
Author/Editor: 辻, 恵介
Publication, Distribution, etc.: 辻, 恵介
Publication Date: 2024
Publication Date (W3CDTF): 2024
Alternative Title: ディープラーニングを用いて、デジタル化した尿細胞診スライドから組織学的high-grade尿路上皮癌の存在予測を行い、病理医の診断補助を行う全自動AIシステムについて
Degree grantor/type: 京都府立医科大学
Date Granted: 2024-02-07
Date Granted (W3CDTF): 2024-02-07
Dissertation Number: 甲第2064号
Degree Type: 博士(医学)
Text Language Code: eng
Alias of Author: Tsuji, Keisuke
DOI: 10.1016/j.euo.2023.11.009
https://doi.org/10.1016/j.euo.2023.11.009
Persistent ID (NDL): info:ndljp/pid/13702160
https://dl.ndl.go.jp/pid/13702160
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): 2024-06-12T15:48:50+09:00
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
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
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