中国防痨杂志 ›› 2022, Vol. 44 ›› Issue (1): 91-94.doi: 10.19982/j.issn.1000-6621.20210537
收稿日期:
2021-09-09
出版日期:
2022-01-10
发布日期:
2021-12-29
通信作者:
侯代伦
E-mail:hou.dl@mail.ccmu.edu.cn
基金资助:
Received:
2021-09-09
Online:
2022-01-10
Published:
2021-12-29
Contact:
HOU Dai-lun
E-mail:hou.dl@mail.ccmu.edu.cn
Supported by:
摘要:
肺结核的影像学形态往往呈多样性,因此,如何鉴别诊断肺结核一直以来是常规影像学研究的重点与难点。近年来,深度学习在辅助影像诊断方面有了飞快发展。深度学习擅长识别大量图像数据中的复杂模式,可大大提高医师的诊断准确性及工作效率。笔者将对深度学习在影像诊断及肺结核影像诊断中的应用、不足及展望进行综述。
中图分类号:
吴键, 侯代伦. 深度学习在肺结核影像诊断中的应用[J]. 中国防痨杂志, 2022, 44(1): 91-94. doi: 10.19982/j.issn.1000-6621.20210537
WU Jian, HOU Dai-lun. Application of deep learning in pulmonary tuberculosis imaging diagnosis[J]. Chinese Journal of Antituberculosis, 2022, 44(1): 91-94. doi: 10.19982/j.issn.1000-6621.20210537
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