Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain

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Bibliographic Details
Published ineLife Vol. 10
Main Authors Wang, Xuechun, Zeng, Weilin, Yang, Xiaodan, Zhang, Yongsheng, Fang, Chunyu, Zeng, Shaoqun, Han, Yunyun, Fei, Peng
Format Journal Article
LanguageEnglish
Published England eLife Science Publications, Ltd 05.10.2021
eLife Sciences Publications Ltd
eLife Sciences Publications, Ltd
Subjects
Birds
Computational and Systems Biology
Neuroscience
China
computational biology
systems biology
neuroscience
Online AccessGet full text
ISSN2050-084X
2050-084X
DOI10.7554/eLife.74328

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Audience Academic
Author Zhang, Yongsheng
Fang, Chunyu
Wang, Xuechun
Han, Yunyun
Fei, Peng
Zeng, Shaoqun
Zeng, Weilin
Yang, Xiaodan
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/34612813$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1016_j_crmeth_2021_100074
crossref_primary_10_1016_j_neucom_2024_127315
crossref_primary_10_3389_fninf_2023_1276891
crossref_primary_10_34133_research_0619
crossref_primary_10_1016_j_compbiomed_2023_107002
crossref_primary_10_1109_TASE_2023_3340722
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COPYRIGHT 2021 eLife Science Publications, Ltd.
2021, Wang et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2021, Wang et al 2021 Wang et al
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Title Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain
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