Avoiding a replication crisis in deep-learning-based bioimage analysis

Deep learning algorithms are powerful tools for analyzing, restoring and transforming bioimaging data. One promise of deep learning is parameter-free one-click image analysis with expert-level performance in a fraction of the time previously required. However, as with most emerging technologies, the...

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Bibliographic Details
Published in:	Nature methods Vol. 18; no. 10; pp. 1136 - 1144
Main Authors:	Laine, Romain F, Arganda-Carreras, Ignacio, Henriques, Ricardo, Jacquemet, Guillaume
Format:	Journal Article
Language:	English
Published:	United States Nature Publishing Group 01.10.2021
Subjects:	Algorithms Biomedical Research - methods Biomedical Research - standards Computational Biology - methods Computational Biology - standards Deep learning Deep Learning - standards Image analysis Image processing Image Processing, Computer-Assisted - standards Learning algorithms Machine learning Medical imaging Microscopy - methods Microscopy - standards New technology
ISSN:	1548-7091, 1548-7105, 1548-7105
Online Access:	Get full text
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