I$\text{'}$m working on a survival analysis project using CT scan images. I need help with the entire process, from data processing to model application. Could someone provide a detailed code example and explanation for each of the following steps:

Data processing: How to prepare CT scan images for analysis?

Extracting radiomic features using PyRadiomics from the processed CT scans.

Selecting important features from the extracted radiomic features. What methods should I consider for feature selection?

Applying a Cox Proportional$-$Hazards model to analyze survival data using the selected features.

Please provide Python code examples and explanations for each step, particularly focusing on data processing techniques, feature selection methods, and how to properly apply the Cox model in this context. Thank you!