| 基于深度学习的肺结节诊断识别研究 |
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| 引用本文： | 高 唤,李秀娟.基于深度学习的肺结节诊断识别研究[J].教育技术导刊,2019,18(9):47-50. |
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| 作者姓名： | 高 唤 李秀娟 |
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| 作者单位： | 河南工业大学 电气工程学院，河南 郑州 450001 |
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| 基金项目： | 河南省联合基金项目（U1804163） |
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| 摘 要： | 医学图像诊断领域的研究热点是病灶点特征和精准定位，将深度学习应用到该领域后诊断效果明显，但是不同深度学习模型之间存在差异性。重点介绍几种重要的深度神经网络模型，总结深度学习在肺结节诊断识别中的研究进展，并提出将深度学习应用于肺结节临床诊断识别所面临的挑战与机遇。
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| 关 键 词： | 深度学习 肺结节诊断 卷积神经网络 医学图像 |
| 收稿时间： | 2019-07-09 |
Diagnosis and Recognition of Lung Nodules Based on Deep Learning |
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| GAO Huan,LI Xiu-juan.Diagnosis and Recognition of Lung Nodules Based on Deep Learning[J].Introduction of Educational Technology,2019,18(9):47-50. |
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| Authors: | GAO Huan LI Xiu-juan |
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| Institution: | College of Electrical Engineering， Henan University of Technology， Zhengzhou 450001，China |
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| Abstract: | The research hotspots of medical image diagnosis are the characteristics of lesions and precise positioning. After applying deep learning to this field， we find the diagnostic effect is obvious， but there are differences between different depth learning models. This paper focuses on several important deep neural network models， summarizes the research progress of deep learning in the diagnosis and identification of pulmonary nodules， and proposes the challenges and opportunities for applying deep learning to the clinical diagnosis and identification of pulmonary nodules. |
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| Keywords: | deep learning pulmonary nodule diagnosis convolutional neural network medical imaging |
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