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Updated: May 21, 2025

Diagnosis of Neoplasia in Barrett’s Esophagus using Vital-dye Enhanced Fluorescence Imaging
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实施内镜人工智能的挑战:现实世界的成像条件对巴雷特的新生病检测的影响

M R Jong1, T J M Jaspers2, C H J Kusters2

  • 1Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

United European gastroenterology journal
|March 21, 2025
PubMed
概括

用于内镜的深度学习系统在图像质量不同时可能表现不佳. 强度增强的训练策略提高了计算机辅助检测巴雷特瘤在现实环境中的性能.

关键词:
巴雷特的食道.人工智能的人工智能是人工智能.计算机辅助检测 计算机辅助检测深度学习系统深度学习系统通过内镜检查 (endoscopy) 进行内镜检查消化道腺癌 (adenocarcinoma) 的发生

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This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
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