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Updated: Jan 28, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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经验模式分解基于医学成像深度学习模型的开发:胃肠内镜图像分类的可行性研究

Mou Deb1, Mrinal Kanti Dhar2, Poonguzhali Elangovan3

  • 1Bioinformatics and Computational Biology, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.

Journal of imaging
|January 27, 2026
PubMed
概括

本研究引入了一种新的深度学习框架,使用二维实证模式分解 (2D EMD) 来改进医疗图像分类. 整合2D EMD可以提高AI模型在胃肠道内镜图像中检测疾病的性能.

关键词:
深度学习是一种深度学习.经验式模式分解 (EMD)功能增强 功能增强 功能增强胃肠道 (GI) 内镜检查图像的分类图像的分类.图像处理是图像处理的过程.

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