MedPy 0.4.0-foss-2019b-Python-3.7.4

MedPy is a library and script collection for medical image processing in Python, providing basic functionalities for reading, writing and manipulating large images of arbitrary dimensionality. Its main contributions are n-dimensional versions of popular image filters, a collection of image feature extractors, ready to be used with scikit-learn, and an exhaustive n-dimensional graph-cut package.

Accessing MedPy 0.4.0-foss-2019b-Python-3.7.4

To load the module for MedPy 0.4.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load MedPy/0.4.0-foss-2019b-Python-3.7.4

BEAR Apps Version

2019b

Architectures

EL8-cascadelakeEL8-icelakeEL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

  • MedPy 0.4.0

More Information

For more information visit the MedPy website.

Dependencies

This version of MedPy has a direct dependency on: foss/2019b Python/3.7.4-GCCcore-8.3.0 SimpleITK/1.2.4-foss-2019b-Python-3.7.4

Required By

This version of MedPy is a direct dependent of: BEAR-Python-Sciences/2019b-foss-2019b-Python-3.7.4

Last modified on 20th January 2020