Difference between revisions of "Documentation/Nightly/Modules/DeepInfer"

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task-specific deep models, without the need for further software development and configuration.
 
task-specific deep models, without the need for further software development and configuration.
 
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In order to use DeepInfer, [https://www.docker.com/ Docker] is required to be installed and configured properly.
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To acknowledge DeepInfer and 3D Slicer, please cite the please cite the [http://www.deepinfer.org DeepInfer web site] and following publications when publishing work that uses or incorporates DeepInfer and 3D Slicer:
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* Mehrtash, A., Pesteie, M., Hetherington, J., Behringer, P.A., Kapur, T., Wells, W.M., Rohling, R., Fedorov, A. and Abolmaesumi, P., 2017, March. [http://www.spl.harvard.edu/publications/item/view/3076 DeepInfer: open-source deep learning deployment toolkit for image-guided therapy.] In SPIE Medical Imaging (pp. 101351K-101351K). International Society for Optics and Photonics.
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* Fedorov A., Beichel R., Kalpathy-Cramer J., Finet J., Fillion-Robin J-C., Pujol S., Bauer C., Jennings D., Fennessy F.M., Sonka M., Buatti J., Aylward S.R., Miller J.V., Pieper S., Kikinis R. [http://www.spl.harvard.edu/publications/item/view/2219 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network.] Magn Reson Imaging. 2012 Nov;30(9):1323-41. PMID: 22770690. PMCID: PMC3466397.
  
 
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Revision as of 17:00, 10 April 2017

Home < Documentation < Nightly < Modules < DeepInfer


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

Extension: DeepInfer
Acknowledgments: This work is funded by NIH Grant No.P41EB015898, Natural Sciences andEngineering Research Council (NSERC) of Canada and the Canadian Institutes of Health Research (CIHR).
Authors: Alireza Mehrtash(SPL), Mehran Pesteie ()
Contact: Alireza Mehrtash, <email>mehrtash@bwh.harvard.edu</email>
webite: DeepInfer Website
License: Slicer License


Surgical Planning Laboratory (SPL)  

Module Description

DeepInfer is an Open-Source Deep Learning Deployment Toolkit for medical imaging and Image-Guided Therapy. With DeepInfer 3D Slicer users can deploy trained deep learning and machine learning models in their workflow. Also, DeepInfer allows machine learning experts to package, ship, and deploy their models, thereby additionally allowing clinical researchers and biomedical engineers to use task-specific deep models, without the need for further software development and configuration.

Setup Guide

In order to use DeepInfer, Docker is required to be installed and configured properly.

Windows

Mac OS X

Ubuntu

Panels and their use

Citing DeepInfer

To acknowledge DeepInfer and 3D Slicer, please cite the please cite the DeepInfer web site and following publications when publishing work that uses or incorporates DeepInfer and 3D Slicer:

Information for Developers