DeepImageJ: Bridging Deep Learning to ImageJ
E. Gomez-de-Mariscal, C. Garcia-Lopez-de-Haro, L. Donati, M. Unser, A. Munoz-Barrutia, D. Sage
Proceedings of the Seventeenth IEEE International Symposium on Biomedical Imaging (ISBI'20), Iowa City IA, USA, April 5-7, 2020, pp. 1308.
DeepImageJ1 is a user-friendly plugin that enables the generic used in FIJI/ImageJ of pre-trained deep learning (DL) models provided by their developers. The plugin acts as a software layer between TensorFlow and FIJI/ImageJ, runs on a standard CPU-based computer and can be used without any DL expertise. Beyond its direct use, we expect DeepImageJ to contribute to the spread and assessment of DL models in life-sciences applications and bioimage informatics.
1EGM and CGLH contributed equally to this work.
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AUTHOR="Gomez-de-Mariscal, E. and Garcia-Lopez-de-Haro, C. and Donati,
L. and Unser, M. and Munoz-Barrutia, A. and Sage, D.",
TITLE="{DeepImageJ}: {B}ridging Deep Learning to {ImageJ}",
BOOKTITLE="Proceedings of the Seventeenth IEEE International Symposium
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pages="1308",
address="Iowa City IA, USA",
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