周期性形态的多维定量表征:通过深度学习网络,通过深度学习网络来区分以斯托普里亚和史诗

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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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Huimin Li1, Shengqiang Shi2,3, Lixia Lou1

  • 1Eye Center, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, China.

Quantitative imaging in medicine and surgery
|September 16, 2024
PubMed
概括

深度学习通过分析周期性形态学,准确地识别了史诗和以斯托普. 这种客观方法有助于区分这些疾病,改善临床诊断.

关键词:
周眼的形态特征 周眼的形态特征自动化图像分析系统深度学习是一种深度学习.这种植物是Epicanthus.

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