Detection of Pulmonary Nodules in CT Images Based on 3D Multi-Scale Retina Vnet

Author:

Sun Lijing1,Zhang Mengyi1,Zhu Wenjun1,Yi Yang1,Wang Cunsong2,Kong Zhaokai3

Affiliation:

1. College of Electrical Engineering and Control Science, Nanjing Tech University,Nanjing,China

2. Institute of Intelligent Manufacturing, Nanjing Tech University,Nanjing,China

3. College of Biomedical Engineering and Instrument Science, Zhejiang University,Hangzhou,China

Funder

National Key Research and Development Program of China

Natural Science Research of Jiangsu Higher Education Institutions of China

Publisher

IEEE

Reference27 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. China national guideline of classification, diagnosis and treatment for lung nodules;Zhou;Chin J Lung Cancer,2016

3. China experts consensus on the diagnosis and treatment of lung nodules (2018 Version);Zhang;Chinese Journal of Tuberculosis and Respiratory Diseases,2018

4. Computerized Detection of Pulmonary Nodules on CT Scans

5. Extraction of suspected nodular lung lesions based on multi-scale morphology filtering in thoracic CT images;Wei;Journal of Northeastern University,2008

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