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Post-processing function used in 'Segmentation of Nuclei in Histopathology Images by deep regression of the distance map'.

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Package description

We implement the splitting algorithm for splitting nuclei nucleas described in in 'Nuclei segmentation in histopathology images using deep neural networks'. This algorithm is essentially a dynamic watershed.
The main function is named: `post_process`.


dynamic_watershed can be installed by unzipping the source code in one directory and using this command: ::

python install

You can also install it directly from the Python Package Index with this command (not working yet): ::

pip install dynamic_watershed

>>> from dynamic_watershed import post_process
>>> from import imread
>>> probability_image = imread('example.png')
>>> p1, p2 = 7, 0.5
>>> result_segmentation = post_process(probability_image, p1, thresh=p2)


See file LICENCE.txt in this folder.

dynamic_watershed is an open-source software. Everyone is welcome to contribute !


If you use this work please cite our paper.

title={Nuclei segmentation in histopathology images using deep neural networks},
author={Naylor, Peter and La{\'e}, Marick and Reyal, Fabien and Walter, Thomas},
booktitle={Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on},

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dynamic_watershed-1.1.0.tar.gz (5.3 kB view hashes)

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