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Updated: Jul 3, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
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肺结节分类使用多视图残留选择性内核网络

Herng-Hua Chang1, Cheng-Zhe Wu2, Audrey Haihong Gallogly3

  • 1Computational Biomedical Engineering Laboratory (CBEL), Department of Engineering Science and Ocean Engineering, National Taiwan University, 1 Sec. 4 Roosevelt Road, Daan, Taipei, 10617, Taiwan. herbertchang@ntu.edu.tw.

Journal of imaging informatics in medicine
|February 12, 2024
PubMed
概括

一个新的深度学习模型,多视图残留选择性内核网络 (MRSKNet),改善了早期肺癌检测. 这种计算机辅助诊断系统通过CT扫描来分类恶性肺结节的高精度.

关键词:
这就是为什么CTCTCTCTCT图像的分类图像的分类.肺部结节 在肺部结节.剩余的学习学习.有选择性的内核.

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