%0 Journal Article
%T U-Net: deep learning for cell counting, detection, and morphometry
%J -
%D 2018
%R https://doi.org/10.1038/s41592-018-0261-2
%X U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their data with U-Net on either a local computer or a remote server/cloud service. The plugin comes with pretrained models for single-cell segmentation and allows for U-Net to be adapted to new tasks on the basis of a few annotated samples
%U https://www.nature.com/articles/s41592-018-0261-2