Research on Lung Nodule Detection Based on Improved Target Detection Network
Lung nodules are an early symptom of lung cancer. The earlier they are found, the more beneficial it is for treatment. However, in practice, Chinese doctors are likely to cause misdiagnosis. Therefore, deep learning is introduced, an improved target detection network is used, and public datasets are...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/6633242 |
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| _version_ | 1832566047184519168 |
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| author | Ye Li Qian Wu Hongwei Sun Xuewei Wang |
| author_facet | Ye Li Qian Wu Hongwei Sun Xuewei Wang |
| author_sort | Ye Li |
| collection | DOAJ |
| description | Lung nodules are an early symptom of lung cancer. The earlier they are found, the more beneficial it is for treatment. However, in practice, Chinese doctors are likely to cause misdiagnosis. Therefore, deep learning is introduced, an improved target detection network is used, and public datasets are used to diagnose and identify lung nodules. This paper selects the Mask-RCNN network and uses the dense block structure of Densenet and the channel shuffle convolution method to improve the Mask-RCNN network. The experimental results prove that proposed algorithm is extremely effective. |
| format | Article |
| id | doaj-art-18305a34137448fa91065f518bf65694 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-18305a34137448fa91065f518bf656942025-02-03T01:05:14ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/66332426633242Research on Lung Nodule Detection Based on Improved Target Detection NetworkYe Li0Qian Wu1Hongwei Sun2Xuewei Wang3College of Computer Science and Engineering, Weifang University of Science and Technology, Weifang 262700, ChinaCollege of Computer Science and Engineering, Weifang University of Science and Technology, Weifang 262700, ChinaCollege of Computer Science and Engineering, Weifang University of Science and Technology, Weifang 262700, ChinaCollege of Computer Science and Engineering, Weifang University of Science and Technology, Weifang 262700, ChinaLung nodules are an early symptom of lung cancer. The earlier they are found, the more beneficial it is for treatment. However, in practice, Chinese doctors are likely to cause misdiagnosis. Therefore, deep learning is introduced, an improved target detection network is used, and public datasets are used to diagnose and identify lung nodules. This paper selects the Mask-RCNN network and uses the dense block structure of Densenet and the channel shuffle convolution method to improve the Mask-RCNN network. The experimental results prove that proposed algorithm is extremely effective.http://dx.doi.org/10.1155/2020/6633242 |
| spellingShingle | Ye Li Qian Wu Hongwei Sun Xuewei Wang Research on Lung Nodule Detection Based on Improved Target Detection Network Complexity |
| title | Research on Lung Nodule Detection Based on Improved Target Detection Network |
| title_full | Research on Lung Nodule Detection Based on Improved Target Detection Network |
| title_fullStr | Research on Lung Nodule Detection Based on Improved Target Detection Network |
| title_full_unstemmed | Research on Lung Nodule Detection Based on Improved Target Detection Network |
| title_short | Research on Lung Nodule Detection Based on Improved Target Detection Network |
| title_sort | research on lung nodule detection based on improved target detection network |
| url | http://dx.doi.org/10.1155/2020/6633242 |
| work_keys_str_mv | AT yeli researchonlungnoduledetectionbasedonimprovedtargetdetectionnetwork AT qianwu researchonlungnoduledetectionbasedonimprovedtargetdetectionnetwork AT hongweisun researchonlungnoduledetectionbasedonimprovedtargetdetectionnetwork AT xueweiwang researchonlungnoduledetectionbasedonimprovedtargetdetectionnetwork |