Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma

Digital data available（三重大学学術機関リポジトリ研究成果コレクション）

学術機関リポジトリデータベース（IRDB）（機関リポジトリ）

Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma

Material type: 博士論文

Author: 池之山, 洋平

Publisher: 三重大学

Publication date: 2021-03-25

Material Format: Digital

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Name of awarding university/degree: 三重大学,博士(医学)

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Notes on use

Note (General)：: application/pdf本文/Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan35p

Detailed bibliographic record

Summary, etc.：: Background: It is known that an esophagus with multiple Lugol-voiding lesions (LVLs) after iodine staining is high risk for esophageal cancer; however...

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Material Type: 博士論文
Title: Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma
Author/Editor: 池之山, 洋平
Author Heading: 池之山, 洋平
Publication, Distribution, etc.: 三重大学
Publication Date: 2021-03-25
Publication Date (W3CDTF): 2021-03-25
Degree grantor/type: 三重大学
Date Granted: 2021-03-25
Dissertation Number: 甲医学第2046号
Degree Type: 博士(医学)
Text Language Code: eng
Target Audience: 一般
Note (General): application/pdf
本文/Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
35p
Format (IMT): application/pdf
Source: 2020DM0302.pdf （fulltext）
https://mie-u.repo.nii.ac.jp/record/2001036/files/2020DM0302.pdf
Access Restrictions: インターネット公開
Related Material (DOI): 10.1055/a-1334-4053
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): 三重大学 : 三重大学学術機関リポジトリ研究成果コレクション