Difference between revisions of "Documentation/Nightly/Extensions/ImageCompare"
From Slicer Wiki
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Tag: 2017 source edit |
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1. Load ground truth CT | 1. Load ground truth CT | ||
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2. Load synthetic CT | 2. Load synthetic CT | ||
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3. Load/generate a mask of patient's outilne | 3. Load/generate a mask of patient's outilne | ||
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4. Click Apply button | 4. Click Apply button | ||
Revision as of 16:45, 23 January 2020
Home < Documentation < Nightly < Extensions < ImageCompare
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Extension: SyntheticCTEvaluation |
Module Description
This extension quantifies the similarity between a syntethic CT and a ground truth.
Use Cases
1. Load ground truth CT
2. Load synthetic CT
3. Load/generate a mask of patient's outilne
4. Click Apply button
Tutorials
Panels and their use
Similar Modules
References
- Spadea MF, Pileggi G, Zaffino P, Salome P, Catana C, Izquierdo-Garcia D, Amato F, Seco J. Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy. International Journal of Radiation Oncology* Biology* Physics. 2019 Nov 1;105(3):495-503.
Information for Developers
Section under construction. |