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Updated: Feb 13, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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[基于深度学习的大脑和脊椎子结构的自动细分算法用于儿科脑髓母细胞瘤的放射治疗]

Wei Wang1, Shuxian Chen1, Mawei Jiang1

  • 1Oncology Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092.

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
|February 11, 2026
PubMed
概括

在细分儿科大脑和脊椎子结构方面,FuseNet表现出卓越的性能,显著减少了手动校正时间. nnU-Net还显示了用于脑髓母细胞瘤治疗计划的有希望的细分能力.

关键词:
自动化细分的自动化细分.脑髓母细胞瘤是什么意思多模式卷积神经网络多模式卷积神经网络儿科放射疗法 儿科放射疗法基层结构的基础结构.

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