A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy

Leenhardt Romain; Vasseur Pauline; Li Cynthia; Saurin Jean Christophe; Rahmi Gabriel; Cholet Franck; Becq Aymeric; Marteau Philippe; Histace Aymeric; Dray Xavier

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A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy

机译：一种神经网络算法，用于检测小肠内窥镜检查期间GI血管梭菌

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Background and Aims: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure. The aim of this study was to develop a computer-assisted diagnosis tool for the detection of GIA.

机译：背景和目的：GI血管分辨率（GIA）是最常见的小肠（SB）血管病变，具有良好的出血风险。 SB胶囊内窥镜检查（SB-CE）是当前已接受的诊断程序。本研究的目的是开发一种用于检测GIA的计算机辅助诊断工具。

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来源
《Gastrointestinal Endoscopy》 |2019年第1期|共6页
作者
Leenhardt Romain; Vasseur Pauline; Li Cynthia; Saurin Jean Christophe; Rahmi Gabriel; Cholet Franck; Becq Aymeric; Marteau Philippe; Histace Aymeric; Dray Xavier;
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作者单位

Sorbonne Univ St Antoine Hosp AP HP Dept Hepatogastroenterol Paris France;

Univ Cergy Pontoise CNRS ETIS ENSEA Cergy Pontoise France;

Sorbonne Univ St Antoine Hosp AP HP Dept Hepatogastroenterol Paris France;

Hop Edouard Herriot Dept Endoscopy &

Gastroenterol Pavillon L Lyon France;

Georges Pompidou European Hosp AP HP Dept Gastroenterol &

Endoscopy Paris France;

Univ Hosp Digest Endoscopy Unit Brest France;

Sorbonne Univ St Antoine Hosp AP HP Dept Hepatogastroenterol Paris France;

Sorbonne Univ St Antoine Hosp AP HP Dept Hepatogastroenterol Paris France;

Univ Cergy Pontoise CNRS ETIS ENSEA Cergy Pontoise France;

Sorbonne Univ St Antoine Hosp AP HP Dept Hepatogastroenterol Paris France;

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正文语种 eng
中图分类消化系及腹部疾病;
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专利

1. A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy [J] . Leenhardt Romain, Vasseur Pauline, Li Cynthia, Gastrointestinal Endoscopy . 2019,第1期

机译：一种神经网络算法，用于检测小肠内窥镜检查期间GI血管梭菌
2. Blue mode imaging may improve the detection and visualization of small-bowel lesions: A capsule endoscopy study [J] . Usama M Abdelaal, Eijiro Morita, Sadaharu Nouda, Saudi Journal of Gastroenterology . 2015,第6期

机译：蓝模式成像可改善小肠病变的检测和可视化：胶囊内窥镜研究
3. Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images [J] . Tsuboi Akiyoshi, Oka Shiro, Aoyama Kazuharu, Digestive endoscopy: official journal of the Japan Gastroenterological Endoscopy Society . 2020,第3期

机译：使用卷积神经网络的人工智能，用于自动检测小肠内窥镜图像
4. Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images [C] . Panpeng Li, Ziyun Li, Fei Gao, IEEE International Conference on Multimedia and Expo . 2017

机译：卷积神经网络在无线胶囊内窥镜图像中检测肠道出血
5. Selecting neural network topologies: A hybrid approach combining genetic algorithms and neural networks. [D] . Taylor, Christopher M. 2005

机译：选择神经网络拓扑：结合遗传算法和神经网络的混合方法。
6. Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images [O] . Haya Alaskar, Abir Hussain, Nourah Al-Aseem, 2019

机译：卷积神经网络在无线胶囊内窥镜图像自动溃疡检测中的应用
7. Small-Bowel Angiectasia as Detected by Capsule Endoscopy and Treated at Balloon Enteroscopy [O] . Masseli J, Albert JG 2013

机译：胶囊内窥镜检查和球囊肠镜检查对小肠血管瘤的治疗
8. Comparison of algorithms for anomaly detection in safeguards and computer security systems using neural networks [R] . Howell, JA, Whiteson, R 1992

机译：使用神经网络进行保障和计算机安全系统异常检测算法的比较

A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy

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