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Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks

Crossref DOI link: https://doi.org/10.1007/s00259-021-05326-y

Published Online: 2021-04-27

Published Print: 2021-10

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

Authors

Shen, Biluo

Zhang, Zhe

Shi, Xiaojing

Cao, Caiguang

Zhang, Zeyu

Hu, Zhenhua

Ji, Nan

Tian, Jie https://orcid.org/0000-0003-0498-0432
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2017YFA0205200)

National Natural Science Foundation of China (81930053)

National Natural Science Foundation of China (81671759)

National Natural Science Foundation of China (81227901)

National Natural Science Foundation of China (81930048)

National Natural Science Foundation of China (62027901)

National Natural Science Foundation of China (92059207)

Chinese Academy of Sciences (QYZDJ-SSW-JSC005)

Natural Science Foundation of Beijing Municipality (JQ19027)

Capital characteristic clinical application project (Z181100001718196)

Beijing Nova Program (Z181100001718196)

Zhuhai High-level Health Personnel Team Project (Zhuhai HLHPTP201703)
License Information

Text and Data Mining valid from 2021-04-27

Version of Record valid from 2021-04-27
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Article History

Received: 22 January 2021

Accepted: 20 March 2021

First Online: 27 April 2021

Declarations

:

: All procedures involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

: All patients were given informed consent for their agreements.

: Yes.

: The authors declare no competing interests.

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