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Updated: Jun 19, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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Deep Learning-Based Segmentation of Cryo-Electron Tomograms

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部署一种新的深度学习框架,用于在形光束CT上对特定解剖结构进行细分

Fatma Yuce1, Cansu Buyuk2, Elif Bilgir3

  • 1Dentistry Faculty, Dentomaxillofacial Radiology, Istanbul Kent University, Cihangir, Sıraselviler St. No:71, 34433, Beyoğlu/İstanbul, Türkiye. dtfatmayuce@gmail.com.

Oral radiology
|May 30, 2025
PubMed
概括

这项研究开发了一种深度学习模型,用于在形光束计算机断层扫描 (CBCT) 图像上自动预测解剖结构. 该模型显示强大的性能,增强牙科诊断和治疗规划.

关键词:
在CBCT中,CBCT是CBCT.深度学习是一种深度学习.头部和部解剖学 头部和部解剖学分段化 分段化 分段化 分段化断层扫描解剖学的解剖学

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Confocal Fluorescence Microscopy

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