ROE
Designed for patient-specific prescription determination using personalized dose-response curves. Visualizes TCP and NTCP.
Description
A Computational Environment for Radiological Research
Features:
- Deep learning segmentation
- Radiomics
- User-friendly access to RT and Radiology meta-data
- Outcomes Modeling
- IMRTP
- Data Import
- Contouring
See https://cerr.github.io/CERR for more information
Important bugs fixed
| Date | Affected feature | Description | Hash |
|---|---|---|---|
| 02/25/2020 | Viewer | Fixed bug in opening the Viewer with Matlab2 2020b due to duplicate "matches" function | aee266e |
| 10/12/2020 | Rasterization | Fixed bug where structure segments on 1st and last row of image were not rasterized. | 95c4647 |
| 09/30/2020 | SUV calculation | Used type of Decay correction for SUV calculation. Used Series time for decay correction = "START". Note that Acquisition time was used irrespective of decay correction | a9cb4fd |
| 09/04/2019 | Radiomics features | Fixed bug where intensities outside the region of interest were included in discretization in case min/max were not specified. | 97f1c62 |
Keywords
Programming languages
- Other 1%
License
Code type
Script/Plugin
Field
Multiple purpose
Member of community
RS4