Crossmark

PIXER: an automated particle-selection method based on segmentation using a deep neural network

Crossref DOI link: https://doi.org/10.1186/s12859-019-2614-y

Published Online: 2019-01-18

Published Print: 2019-12

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

Authors

Zhang, Jingrong

Wang, Zihao

Chen, Yu

Han, Renmin

Liu, Zhiyong

Sun, Fei

Zhang, Fa
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2017YFA0504702)

NSFC projects (U1611263, U1611261)

NSFC projects (61472397, 61502455, 61672493)

Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund

National Key Research and Development Program of China (2017YFE0103900)
License Information

Text and Data Mining valid from 2019-01-18
More Information

Article History

Received: 25 April 2018

Accepted: 7 January 2019

First Online: 18 January 2019

Ethics approval and consent to participate

: Not applicable.

: 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.