Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology
Crossref DOI link: https://doi.org/10.1007/s40484-018-0156-3
Published Online: 2018-12
Published Print: 2018-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chai, Xiaoqi
Ba, Qinle
Yang, Ge
Funding for this research was provided by:
National Science Foundation (CBET‐1804929)
Accepted Manuscript valid from 2019-12-01
Version of Record valid from 2018-12-01
Text and Data Mining valid from 2018-12-01
Article History
Received: 5 March 2018
Revised: 1 August 2018
Accepted: 2 August 2018
First Online: 1 December 2018