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Author:

杨杨 (杨杨.) | 李晓琴 (李晓琴.) | 侯智超 (侯智超.) | 高斌 (高斌.)

Abstract:

简要分析了计算机断层扫描(computed tomography, CT)与其他肺结节成像方式的优缺点。随后介绍了目前研究者们运用最多的两个肺部计算机断层扫描影像数据库以及其文件组成。最后从传统人工特征、深度学习、数据集的选择以及多分类这四个角度出发,重点介绍了肺结节良恶性分类的具体应用及进展,并加以讨论和展望。

Keyword:

Deep Learning 计算机辅助诊断 Pulmonary Nodule 深度学习 Nodule Classification Computer Aided Diagnosis 金标准 结节分类 肺结节 机器学习 Machine Learning Golden Standard

Author Community:

  • [ 1 ] [杨杨]北京工业大学环境与生命学部,北京

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Source :

生物物理学

ISSN: 2330-1686

Year: 2021

Issue: 02

Volume: 9

Page: 43-56

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count: -1

Chinese Cited Count:

30 Days PV: 18

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