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Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus.

作者信息

Ebigbo Alanna, Mendel Robert, Probst Andreas, Manzeneder Johannes, Prinz Friederike, de Souza Luis A, Papa Joao, Palm Christoph, Messmann Helmut

机构信息

Department of Gastroenterology, Universitätsklinikum Augsburg, Augsburg, Germany

Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Regensburg, Germany.

出版信息

Gut. 2020 Apr;69(4):615-616. doi: 10.1136/gutjnl-2019-319460. Epub 2019 Sep 20.

DOI:10.1136/gutjnl-2019-319460
PMID:31541004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7063447/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/470f/7063447/e19f3cebd0dc/gutjnl-2019-319460f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/470f/7063447/989045b3ce17/gutjnl-2019-319460f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/470f/7063447/e19f3cebd0dc/gutjnl-2019-319460f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/470f/7063447/989045b3ce17/gutjnl-2019-319460f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/470f/7063447/e19f3cebd0dc/gutjnl-2019-319460f02.jpg

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本文引用的文献

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[Barrett-Screening: Rational, current concepts and perspectives].[巴雷特食管筛查:合理性、当前概念与展望]
Z Gastroenterol. 2019 Mar;57(3):317-326. doi: 10.1055/a-0832-2647. Epub 2019 Mar 12.
2
Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma.深度学习在早期食管腺癌评估中的计算机辅助诊断
Gut. 2019 Jul;68(7):1143-1145. doi: 10.1136/gutjnl-2018-317573. Epub 2018 Dec 3.
3
The Epidemiology of Esophageal Adenocarcinoma.食管腺癌的流行病学。
食管腺癌图像增强内镜检查的未来
Clin Endosc. 2025 Jul;58(4):503-513. doi: 10.5946/ce.2024.324. Epub 2025 May 20.
4
Effect of computer aided detection system on esophageal neoplasm diagnosis in varied levels of endoscopists.计算机辅助检测系统对不同水平内镜医师诊断食管肿瘤的影响。
NPJ Digit Med. 2025 Mar 13;8(1):160. doi: 10.1038/s41746-025-01532-2.
5
Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis.人工智能在急诊与重症监护诊断中的应用:一项系统综述与荟萃分析。
Front Artif Intell. 2024 Oct 4;7:1422551. doi: 10.3389/frai.2024.1422551. eCollection 2024.
6
Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer.深度学习在食管癌诊断与管理中的图像分析应用
Cancers (Basel). 2024 Sep 26;16(19):3285. doi: 10.3390/cancers16193285.
7
A Systematic Review of Real-Time Deep Learning Methods for Image-Based Cancer Diagnostics.基于图像的癌症诊断实时深度学习方法的系统综述。
J Multidiscip Healthc. 2024 Sep 9;17:4411-4425. doi: 10.2147/JMDH.S446745. eCollection 2024.
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Emerging research trends in artificial intelligence for cancer diagnostic systems: A comprehensive review.癌症诊断系统人工智能的新兴研究趋势:全面综述
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