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Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice.基于人工智能的窄带图像放大结肠镜检查对大肠息肉组织学预测的反应：临床实践的垫脚石
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本文引用的文献

1
Artificial Intelligence-Based Colorectal Polyp Histology Prediction by Using Narrow-Band Image-Magnifying Colonoscopy.基于人工智能利用窄带图像放大结肠镜检查预测大肠息肉组织学特征
Clin Endosc. 2022 Jan;55(1):113-121. doi: 10.5946/ce.2021.149. Epub 2021 Sep 23.
2
Microvascular density under magnifying narrow-band imaging endoscopy in colorectal epithelial neoplasms.放大窄带成像内镜下结直肠上皮性肿瘤的微血管密度
Intest Res. 2020 Jan;18(1):107-114. doi: 10.5217/ir.2019.00061. Epub 2019 Nov 4.
3
Diagnostic features of sessile serrated adenoma/polyps on magnifying narrow band imaging: a prospective study of diagnostic accuracy.放大窄带成像下无蒂锯齿状腺瘤/息肉的诊断特征：诊断准确性的前瞻性研究
J Gastroenterol Hepatol. 2015 Jan;30(1):117-23. doi: 10.1111/jgh.12688.

Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice.

作者信息

Racz Istvan, Horvath Andras, Horvath Zoltán

机构信息

Department of Internal Medicine and Gastroenterology, Petz Aladar University Teaching Hospital, Gyor, Hungary.

Department of Physics and Chemistry, Szechenyi Istvan University, Gyor, Hungary.

出版信息

Clin Endosc. 2022 Sep;55(5):701-702. doi: 10.5946/ce.2022.123.1. Epub 2022 Sep 27.

DOI:10.5946/ce.2022.123.1
PMID:36205048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9539298/
Abstract
摘要