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Updated: Jul 21, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

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半监督的轮驱动的广泛学习系统用于隐藏的禁止行李物品的自主细分

Divya Velayudhan1, Abdelfatah Ahmed2, Taimur Hassan3

  • 1Department of Electrical Engineering and Computer Sciences, Center for Cyber-Physical Systems, Khalifa University of Science and Technology, Abu Dhabi, 127788, United Arab Emirates. 100058254@ku.ac.ae.

Visual computing for industry, biomedicine, and art
|December 23, 2024
PubMed
概括

一个新的半监督的轮驱动广泛学习系统 (C-BLX) 改善了X射线行李安全威胁检测. 这种人工智能模型使用最小的标签来更快,更准确地识别被禁止的物品.

关键词:
行李X射线图像 旅行行李X射线图像广泛的学习系统.威胁检测 威胁检测威胁细分 威胁细分

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