Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules.
Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules.
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DOI：
10.1186/s12938-018-0435-2
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发表时间：
2018-02-07
影响因子：
3.9
通讯作者：
Ji J
中科院分区：
文献类型：
--
作者：
Yang J;Wang H;Geng C;Dai Y;Ji J
肺结节是肺癌的重要病变之一，主要分为实性结节和磨玻璃样结节两大类。提高肺癌的诊断水平具有重要的临床意义，而机器学习技术可以实现这一目标。目前，对实性结节的研究较多。但对毛玻璃样结节的研究起步较晚，缺乏研究成果。本文综述了2014年以来肺结节智能诊断方法的研究进展。从结节征象、数据分析方法、预测模型和系统评价四个方面进行了详细阐述。本文旨在为肺癌的临床诊断和智能分析提供研究素材，进一步提高肺磨玻璃样结节诊断的准确率。
Pulmonary nodule is one of the important lesions of lung cancer, mainly divided into two categories of solid nodules and ground glass nodules. The improvement of diagnosis of lung cancer has significant clinical significance, which could be realized by machine learning techniques. At present, there have been a lot of researches focusing on solid nodules. But the research on ground glass nodules started late, and lacked research results. This paper summarizes the research progress of the method of intelligent diagnosis for pulmonary nodules since 2014. It is described in details from four aspects: nodular signs, data analysis methods, prediction models and system evaluation. This paper aims to provide the research material for researchers of the clinical diagnosis and intelligent analysis of lung cancer, and further improve the precision of pulmonary ground glass nodule diagnosis.
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影响因子：
4.4
作者：
Han, Fangfang;Wang, Huafeng;Liang, Zhengrong
通讯作者：
Liang, Zhengrong
DOI：
10.1158/1078-0432.ccr-15-3102
发表时间：
2017-03-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Liu Y;Balagurunathan Y;Atwater T;Antic S;Li Q;Walker RC;Smith GT;Massion PP;Schabath MB;Gillies RJ
通讯作者：
Gillies RJ
影响因子：
--
作者：
She Y;Zhao L;Dai C;Ren Y;Zha J;Xie H;Jiang S;Shi J;Shi S;Shi W;Yu B;Jiang G;Fei K;Chen Y;Chen C
通讯作者：
Chen C
影响因子：
5.9
作者：
Gomez-Saez, Noemi;Hernandez-Aguado, Ildefonso;Lumbreras, Blanca
通讯作者：
Lumbreras, Blanca
影响因子：
3.2
作者：
Chen, Chih-Yu;Chen, Chia-Hung;Hsu, Wu-Huei
通讯作者：
Hsu, Wu-Huei