Python wrapper around the unet cell segmentation by Thorsten Falk et al. (ImageJ plugin & caffe backend, https://github.com/lmb-freiburg/Unet-Segmentation).
Takes 2D image inputs, applies 2D UNET models trained with the UNET ImageJ plugin, returns scores and segmentation results.
I only provide the wrapper, based on the original work by Falk et al.:
Nature Methods publication: Falk, Thorsten, et al. "U-Net: deep learning for cell counting, detection, and morphometry." Nature methods 16.1 (2019): 67. https://doi.org/10.1038/s41592-018-0261-2
Related resources: https://lmb.informatik.uni-freiburg.de/resources/opensource/unet/
Related github issue: lmb-freiburg/Unet-Segmentation#23