For the stable Slicer documentation, visit the 4.10 page.
Introduction and Acknowledgements
- SyntheticCTEvaluation: This module allows to quantify the similarity between a syntethic CT and a ground truth.
1. Load ground truth CT
2. Load synthetic CT
3. Load/generate a mask of patient's outilne
4. Click Apply button
Panels and their use
- 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.|