High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules

Author:

Zhang Teng,Wang Yida,Sun Yingli,Yuan Mei,Zhong Yan,Li Hai,Yu Tongfu,Wang Jie

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference41 articles.

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2. Natural history of pure ground-glass opacity lung nodules detected by low-dose CT scan;Chang;Chest,2013

3. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society: International multidisciplinary classification of lung adenocarcinoma: executive summary;Travis;Proc. Am. Thorac. Soc.,2011

4. CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules;Henschke;Am. J. Roentgenol.,2002

5. Ground-glass opacity lung nodules in the era of lung Cancer ct screening: radiology, pathology, and clinical management;ols. Pedersen;Oncology (Williston Park, N.Y.),2016

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