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Free annotated data for deep learning in microscopy? A hitchhiker's guide

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arxiv 2010.03988 v1 pith:WXA56UMB submitted 2020-10-08 eess.IV cs.CV

classification eess.IVcs.CV
keywords methodsmicroscopyannotateddatadatasetsdeeplearningacquiring
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In microscopy, the time burden and cost of acquiring and annotating large datasets that many deep learning models take as a prerequisite, often appears to make these methods impractical. Can this requirement for annotated data be relaxed? Is it possible to borrow the knowledge gathered from datasets in other application fields and leverage it for microscopy? Here, we aim to provide an overview of methods that have recently emerged to successfully train learning-based methods in bio-microscopy.

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