Difference between revisions of "Fiji/Unet 2016"

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== Introduction ==
== Introduction ==
U-Net  is a plugin for [https://imagej.nih.gov/ij/ ImageJ]. It is  a  generic  deep-learning  solution  for  frequently  occurring  quantificationtasks like cell detection and shape measurements in biomedical image data. In this case, Unet is built on [https://fiji.sc/ Fiji], a distribution for ImageJ, specifically build to facilitate scientific image analysis.
Unet works with and is dependent of a modified version of [https://github.com/BVLC/caffe caffe]: [https://github.com/lmb-freiburg/Unet-Segmentation/wiki/Installation#UNet_Client_Fiji_Plugin caffe_unet].


== Installed version(s) ==
== Installed version(s) ==

Revision as of 10:33, 17 September 2019

Introduction

U-Net is a plugin for ImageJ. It is a generic deep-learning solution for frequently occurring quantificationtasks like cell detection and shape measurements in biomedical image data. In this case, Unet is built on Fiji, a distribution for ImageJ, specifically build to facilitate scientific image analysis. Unet works with and is dependent of a modified version of caffe: caffe_unet.


Installed version(s)

This version is installed and currently available on environment hpc-env/6.4:


Using XXXXXXXXXX

If you want to find out more about XXXXXXXXXXX on the HPC cluster, you can use the command

module spider XXXXXXXXXXXXX

This will show you basic informations e.g. a short description and the currently installed version.

To load the desired version of the module, use the command, e.g.

module load hpc-env 6.4
module load XXXXXXXXXXXXXXXXXx

Always remember: this command is case sensitive!


Documentation

The full documentation can be found [ here].