相关实验视频

Updated: Sep 13, 2025

Video Imaging and Spatiotemporal Maps to Analyze Gastrointestinal Motility in Mice
07:41

Video Imaging and Spatiotemporal Maps to Analyze Gastrointestinal Motility in Mice

Published on: February 3, 2016

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一个基于深度学习的新型3D卷积神经网络模型,用于视频分析的时空特征映射:胃肠内镜视频分类的可行性研究

Mrinal Kanti Dhar1, Mou Deb2, Poonguzhali Elangovan3

  • 1Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.

Journal of imaging
|July 25, 2025
PubMed
概括

这项研究引入了一个深度学习框架来分析医疗视频,特别是对胃肠道内镜片进行分类. 新模型有效地提取了时空特征,在视频分类任务中实现了高精度.

关键词:
3D卷积神经网络是一个3D卷积神经网络.P-scSE3D 的意思是什么?深度学习是一种深度学习.消化肠道内镜视频分类超高克瓦西尔的数据集时间空间的特征.

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Spatiotemporal Mapping of Motility in Ex Vivo Preparations of the Intestines

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Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography10:40

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