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Updated: Jun 27, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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全球局部指导网络的粘膜损伤细分在胃肠内镜图像图像

Zhiyang Xu1, Yanzi Miao2, Guangxia Chen3

  • 1Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, School of Information and Control Engineering, Advanced Robotics Research Center, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, P. R. China.

Journal of imaging informatics in medicine
|June 28, 2024
PubMed
概括

一个新的基于变压器的网络,GLGFormer,通过增强全球和本地特征来改善内镜图像中的粘膜病变细分. 这种方法在识别病变方面达到很高的准确性,优于现有的细分网络.

关键词:
深度学习是一种深度学习.内镜图像分析损伤细分 损伤细分医疗图像细分 医疗图像细分

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Sigmoidoscopy and laparoscopy are distinct medical procedures that enable physicians to internally inspect different parts of the GI tract. Although they serve different purposes, each is essential for diagnosing and, in some cases, treating various medical conditions.
Sigmoidoscopy
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