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Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494476/ https://www.ncbi.nlm.nih.gov/pubmed/34612813 http://dx.doi.org/10.7554/eLife.74328 |
| _version_ | 1784579317865381888 |
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| author | Wang, Xuechun Zeng, Weilin Yang, Xiaodan Zhang, Yongsheng Fang, Chunyu Zeng, Shaoqun Han, Yunyun Fei, Peng |
| author_facet | Wang, Xuechun Zeng, Weilin Yang, Xiaodan Zhang, Yongsheng Fang, Chunyu Zeng, Shaoqun Han, Yunyun Fei, Peng |
| author_sort | Wang, Xuechun |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8494476 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | eLife Sciences Publications, Ltd |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-84944762021-10-08 Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain Wang, Xuechun Zeng, Weilin Yang, Xiaodan Zhang, Yongsheng Fang, Chunyu Zeng, Shaoqun Han, Yunyun Fei, Peng eLife Computational and Systems Biology eLife Sciences Publications, Ltd 2021-10-05 /pmc/articles/PMC8494476/ /pubmed/34612813 http://dx.doi.org/10.7554/eLife.74328 Text en © 2021, Wang et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
| spellingShingle | Computational and Systems Biology Wang, Xuechun Zeng, Weilin Yang, Xiaodan Zhang, Yongsheng Fang, Chunyu Zeng, Shaoqun Han, Yunyun Fei, Peng Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain |
| title | Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain |
| title_full | Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain |
| title_fullStr | Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain |
| title_full_unstemmed | Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain |
| title_short | Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain |
| title_sort | correction: bi-channel image registration and deep-learning segmentation (birds) for efficient, versatile 3d mapping of mouse brain |
| topic | Computational and Systems Biology |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494476/ https://www.ncbi.nlm.nih.gov/pubmed/34612813 http://dx.doi.org/10.7554/eLife.74328 |
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