On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

Bioimage analysis of fluorescent labels is widely used in the life sciences. Recent advances in deep learning (DL) allow automating time-consuming manual image analysis processes based on annotated training data. However, manual annotation of fluorescent features with a low signal-to-noise ratio is...

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Bibliographic Details

Published in:	eLife
Main Authors:	Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B Comeras, Anupam Sah, Victoria Schoeffler, Teresa Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D Lange, Ramon O Tasan, Nicolas Singewald, Hans-Christian Pape, Christoph M Flath, Robert Blum
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2020-10-01
Subjects:	bioimage informatics deep learning reproducibility objectivity validity fluorescence microscopy
Online Access:	https://elifesciences.org/articles/59780