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Keywords: U-Net
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Journal Articles
Thomas Naert, Özgün Çiçek, Paulina Ogar, Max Bürgi, Nikko-Ideen Shaidani, Michael M. Kaminski, Yuxiao Xu, Kelli Grand, Marko Vujanovic, Daniel Prata, Friedhelm Hildebrandt, Thomas Brox, Olaf Ronneberger, Fabian F. Voigt, Fritjof Helmchen, Johannes Loffing, Marko E. Horb, Helen Rankin Willsey, Soeren S. Lienkamp
Journal:
Development
Development (2021) 148 (21): dev199664.
Published: 5 November 2021
...; Soeren S. Lienkamp ABSTRACT Genome editing simplifies the generation of new animal models for congenital disorders. However, the detailed and unbiased phenotypic assessment of altered embryonic development remains a challenge. Here, we explore how deep learning (U-Net) can automate segmentation tasks...
Includes: Supplementary data
