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Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis

Published Online: 2019-05-17

Published Print: 2019-12

Authors

Yu, Lingming

Tao, Guangyu

Zhu, Lei

Wang, Gang

Li, Ziming

Ye, Jianding https://orcid.org/0000-0002-6812-3213
Chen, Qunhui
Funding

Funding for this research was provided by:

Science and Technology Commission Shanghai Municipalit Project (No.18511102902)

Shanghai Hospital Development Center Project (SHDC22015033)

Shanghai Municipal Commission of Health and Family Planning Project (20184Y0219)

Interdisciplinary Program of Shanghai Jiao Tong University (YG2017QN661)
License Information

Text and Data Mining valid from 2019-05-17

Version of Record valid from 2019-05-17
More Information

Article History

Received: 19 August 2018

Accepted: 26 April 2019

First Online: 17 May 2019

Ethics approval and consent to participate

: Imaging, clinical characteristics and survival data have been de-identified by The Cancer Imaging Archive (TCIA) and are publicly available. Thus, no internal approval of an institutional review board was required for this study. Informed consent was collected by the TCIA Research Network.

: Not applicable.

: The authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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