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*Result*: Deep learning is widely applicable to phenotyping embryonic development and disease

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*Title*:
Deep learning is widely applicable to phenotyping embryonic development and disease
*Author/editor-in-chief*:
Naert, Thomas (Verfasser); Çiçek, Özgün (Verfasser) ; Ogar, Paulina (Verfasser); Bürgi, Max (Verfasser); Shaidani, Nikko-Ideen (Verfasser); Kaminski, Michael (Verfasser) ; Xu, Yuxiao (Verfasser); Grand, Kelli (Verfasser); Vujanovic, Marko (Verfasser); Prata, Daniel (Verfasser); Hildebrandt, Friedhelm (Verfasser) ; Brox, Thomas (Verfasser) ; Ronneberger, Olaf (Verfasser) ; Voigt, Fabian F. (Verfasser) ; Helmchen, Fritjof (Verfasser); Loffing, Johannes (Verfasser); Horb, Marko E. (Verfasser); Willsey, Helen Rankin (Verfasser); Lienkamp, Soeren (Verfasser) 
*Publication*:
Freiburg : Universität, 2024
*Physical description scale*:
1 Online-Ressource
*Format*:
*eBook*
*Language*:
*eng*
*Notes*:
Development. - 148, 21 (2021) , dev199664, ISSN: 1477-9129
*DOI*:
10.1242/dev.199664

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Deep learning is widely applicable to phenotyping embryonic development and disease / Naert, Thomas
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