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Updated: May 10, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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评估生物医学成像中的超分辨率模型:细分和分类中的应用和性能

Mario Amoros1, Manuel Curado1, Jose F Vicent1

  • 1Department of Computer Science and Artificial Intelligence, University of Alicante, Campus de San Vicente del Raspeig, Ap. Correos 99, E-03080 Alicante, Spain.

Journal of imaging
|April 25, 2025
PubMed
概括

超分辨率 (SR) 模型可以提高生物医学图像质量. 像SwinIR一样,先进的SR保持了诊断特征,增强或保留了临床任务的性能,特别是在低分辨率的肺部CT扫描中.

关键词:
这是分类分类的分类.细分化 细分化的细分化超级分辨率的超级分辨率

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