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Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Crossref DOI link: https://doi.org/10.1186/s12880-018-0286-0

Published Online: 2018-12-03

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jung, Hwejin

Kim, Bumsoo

Lee, Inyeop

Lee, Junhyun

Kang, Jaewoo https://orcid.org/0000-0001-6798-9106
Funding

Funding for this research was provided by:

National Research Foundation of Korea (2014M3C9A3063541)

National Research Foundation of Korea (2016M3A9A7916996)

National Research Foundation of Korea (2017M3C4A7065887)
License Information

Text and Data Mining valid from 2018-12-01
More Information

Article History

Received: 3 May 2018

Accepted: 24 October 2018

First Online: 3 December 2018

Ethics approval and consent to participate

: Imaging data of LUng Nodule Analysis 2016 (LUNA16) is obtained from the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) database, both of which are publicly available. Thus, no internal approval of an institutional review board was required for this study. Informed consent was given by LIDC-IDRI.

: Not Applicable.

: The authors declare that they have no competing interests.

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