Identification of pulmonary nodules via CT images with hierarchical fully convolutional networks

Author:

Chen GenlangORCID,Zhang Jiajian,Zhuo Deyun,Pan Yuning,Pang Chaoyi

Funder

National Natural Science Foundation of China

The Ningbo eHealth Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference23 articles.

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2. Trajanovski S, Mavroeidis D, Swisher CL, Gebre BG, Veeling B, Wiemker R, Klinder T, Tahmasebi A, Regis SM, Wald C, McKee BJ, MacMahon H, Pien H (2018) Towards radiologist-level cancer risk assessment in ct lung screening using deep learning. arXiv: 1804.01901 . Cite arxiv:1804.01901Comment: Submitted for publication. 11 pages. 3 pages supplementary material

3. Dennison D (2018) 2018 state of lung cancer report. https://www.naaccr.org/2018-state-lung-cancer-report/ . NAACC Review

4. Dey R, Lu Z, Hong Y (2018) Diagnostic classification of lung nodules using 3d neural networks. arXiv: 1803.07192 . Cite arxiv:1803.07192Comment: Accepted for publication in IEEE International Symposium on Biomedical Imaging (ISBI) 2018 Copyright c 2018 IEEE

5. Alakwaa W, Nassef M, Badr A (2017) Int J Adv Comput Sci Appl, 8(8)

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