segmentation-eval
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rmsandu
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Bumps [certifi](https://github.com/certifi/python-certifi) from 2020.6.20 to 2022.12.7. Commits 9e9e840 2022.12.07 b81bdb2 2022.09.24 939a28f 2022.09.14 aca828a 2022.06.15.2 de0eae1 Only use importlib.resources's new files() / Traversable API on Python ≥3.11 ... b8eb5e9 2022.06.15.1...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [numpy](https://github.com/numpy/numpy) from 1.19.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Bumps [pywin32](https://github.com/mhammond/pywin32) from 228 to 301. Release notes Sourced from pywin32's releases. Release 301 The changes If you use pip: pip install pywin32 --upgrade A number of things don't work...
- [ ] implement paired boxplots PAV & EAV - [ ] implement paired boxplots MIV & MEV
form problem of the type "what is the probability I will get this volume if I use a certain power & time, give a certain tumor volume(radii?) and that's about...
- [ ] follow CT SOP standard - [ ] input: Radii - [ ] input: CT spacing
- Fix the graphs with the legend and same size -