Difference between revisions of "Documentation/Nightly/Modules/DeepInfer"
| Line 11: | Line 11: | ||
Acknowledgments: | 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).<br> | 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).<br> | ||
| − | Authors: Alireza Mehrtash({{collaborator|name|spl}}), Mehran Pesteie ({{collaborator|name|ubc}})<br> | + | Authors: Alireza Mehrtash({{collaborator|name|spl}}), Mehran Pesteie ({{collaborator|name|ubc}})<br> |
Contact: Alireza Mehrtash, <email>mehrtash@bwh.harvard.edu</email><br> | Contact: Alireza Mehrtash, <email>mehrtash@bwh.harvard.edu</email><br> | ||
| − | + | webite: [http://www.deepinfer.org/ DeepInfer Website]<br> | |
License: [http://www.slicer.org/pages/LicenseText Slicer License] | License: [http://www.slicer.org/pages/LicenseText Slicer License] | ||
| Line 24: | Line 24: | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
{{documentation/{{documentation/version}}/module-section|Module Description}} | {{documentation/{{documentation/version}}/module-section|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. | ||
| + | {{documentation/{{documentation/version}}/module-section|Setup Guide}} | ||
| + | |||
| + | |||
| + | <!-- ---------------------------- | ||
| + | {{documentation/{{documentation/version}}/module-section|Tutorials}}--> | ||
| + | <big>Windows</big><br> | ||
| − | < | + | <big>Mac OS X</big><br> |
| − | |||
| − | |||
| + | <big>Linux</big><br> | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
| Line 39: | Line 48: | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
{{documentation/{{documentation/version}}/module-section|Information for Developers}} | {{documentation/{{documentation/version}}/module-section|Information for Developers}} | ||
| − | * [https://github.com/deepinfer/Slicer-DeepInfer Source Code] | + | * [https://github.com/deepinfer/Slicer-DeepInfer Slicer-DeepInfer Module Source Code] |
| + | * [https://github.com/DeepInfer/Model-Registry Model Registry] | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
{{documentation/{{documentation/version}}/module-footer}} | {{documentation/{{documentation/version}}/module-footer}} | ||
| − | [[Category:Documentation/{{documentation/version}}/Modules/ | + | [[Category:Documentation/{{documentation/version}}/Modules/ML]] |
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
Revision as of 16:45, 10 April 2017
Home < Documentation < Nightly < Modules < DeepInfer
|
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
|
Extension: DeepInfer
|
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
Windows
Mac OS X
Linux
