PW44_2026_GranCanaria: Add project ValidationOfRadiomicsJlLibraryByUsingOvarianCancerImagesAndPossibleIntegrationInSlicer

Author: sjh26

PW44_2026_GranCanaria/Projects/ValidationOfRadiomicsJlLibraryByUsingOvarianCancerImagesAndPossibleIntegrationInSlicer/README.md

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+---
+layout: pw44-project
+
+permalink: /:path/
+
+project_title: Validation of Radiomics.jl library by using ovarian cancer images and possible integration
+  in Slicer
+category: Quantification and Computation
+presenter_location: 
+
+key_investigators:
+
+- name: Paolo Zaffino
+  affiliation: Magna Graecia University of Catanzaro
+  country: Italy
+
+- name: Ciro Benito Raggio
+  affiliation: Karlsruhe Institute of Technology
+  country: Germany
+
+- name: Francesca Spadeda
+  affiliation: Karlsruhe Institute of Technology
+  country: Germany
+
+---
+
+# Project Description
+
+<!-- Add a short paragraph describing the project. -->
+
+
+[Radiomics.jl](https://github.com/pzaffino/Radiomics.jl) is a pure Julia library for radiomics feature extraction.
+Being a pretty new library, we want to test and validate it by using CT of ovarian cancer patients.
+
+We would also like to investigate the possibility of calling it from the embedded Python in Slicer.
+
+Of course any suggestion is more than welcome.
+
+
+
+
+## Objective
+
+<!-- Describe here WHAT you would like to achieve (what you will have as end result). -->
+
+
+1. Test Radiomics.jl on ovarian cancer CT 
+2. Investigate the possibility of calling Radiomics.jl main function in Python
+
+
+
+
+## Approach and Plan
+
+<!-- Describe here HOW you would like to achieve the objectives stated above. -->
+
+
+1. Compare Radiomics.jl features with those computed by PyRadiomics (considered as the gold standard)
+2. Create a shared library and call it from Python
+3. Collect comments/suggestions
+
+
+
+## Progress and Next Steps
+
+<!-- Update this section as you make progress, describing of what you have ACTUALLY DONE.
+     If there are specific steps that you could not complete then you can describe them here, too. -->
+
+
+1. Describe specific steps you **have actually done**.
+
+
+
+
+# Illustrations
+
+<!-- Add pictures and links to videos that demonstrate what has been accomplished. -->
+
+
+![Radiomics.jl](https://raw.githubusercontent.com/pzaffino/Radiomics.jl/refs/heads/main/Logo%20Radiomicsjl.png)
+
+<img width="1106" height="408" alt="Image" src="https://github.com/user-attachments/assets/1dc97ca0-90a1-4e5f-ae40-67730e3dae16" />
+
+
+
+# Background and References
+
+<!-- If you developed any software, include link to the source code repository.
+     If possible, also add links to sample data, and to any relevant publications. -->
+
+
+- Radiomics.jl official page: https://www.radiomicsjl.org
+- Radiomics.jl source code: https://github.com/pzaffino/Radiomics.jl
+- Pyradiomics documentation: https://pyradiomics.readthedocs.io
+- Pyradiomics source code: https://github.com/AIM-Harvard/pyradiomics/tree/master
+