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Updated: May 25, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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[基于轻量级网络和知识蒸策略的心磁共振图像细分]

Zeqi Liu1, Ning Wang1, Chong Zhang1

  • 1College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan 250355, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|February 25, 2025
PubMed
概括

这项研究介绍了DPU-Net,这是一种用于心脏MRI细分的轻量级深度学习模型,显著减少了参数和计算. 它通过使用一种新的知识蒸策略,实现了高准确性 (91.26% Dice).

关键词:
深度学习是一种深度学习.知识的蒸知识的蒸.轻量级网络轻量级的网络.医疗图像细分 医疗图像细分

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