朱国策,李朝锋.基于卷积神经网络的胸片肺结节检测[J].传感器与微系统,2017(12).

秦子亮,李朝锋.基于卷积神经网络的胸片肺野自动分割[J].传感器与微系统,2017(10).

谷宇,吕晓琪,赵建峰,杨立东,喻大华,赵瑛,黄显武,任国印,郝小静.基于三维区域增长和灰度积分投影法的肺实质分割[J].科学技术与工程,2016(32).

Gu Yu,Chi Jingqian,Liu Jiaqi,Yang Lidong,Zhang Baohua,Yu Dahua,Zhao Ying,Lu Xiaoqi.A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning[J].Computers in Biology and Medicine,2021.

Liao Fangzhou,Liang Ming,Li Zhe,Hu Xiaolin,Song Sen.Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.[J].IEEE transactions on neural networks and learning systems,2019.

School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China. Electronic address: shanjmri@tju.edu.cn.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China..Automatic nodule detection for lung cancer in CT images: A review[J].Computers in Biology and Medicine,2018.

Yiyuan Zhao,Liang Zhao,Zhennan Yan,Matthias Wolf,Yiqiang Zhan.A deep-learning based automatic pulmonary nodule detection system[J].Medical Imaging,2018.

Arnaud Arindra Adiyoso Setio,Alberto Traverso,Thomas de Bel,Moira S.N. Berens,Cas van den Bogaard,Piergiorgio Cerello,Hao Chen,Qi Dou,Maria Evelina Fantacci,Bram Geurts,Robbert van der Gugten,Pheng Ann Heng,Bart Jansen,Michael M.J. de Kaste,Valentin Kotov,Jack Yu-Hung Lin,Jeroen T.M.C. Manders,Alexander Sóñora-Mengana,Juan Carlos García-Naranjo,Evgenia Papavasileiou,Mathias Prokop,Marco Saletta,Cornelia M Schaefer-Prokop,Ernst T. Scholten,Luuk Scholten,Miranda M. Snoeren,Ernesto Lo.Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge[J].Medical Image Analysis,2017.

谷宇.基于深度卷积神经网络的CT影像肺结节检测技术研究[D].上海大学,2019(04).