Hello, I$\text{'}$m looking for a detailed, step$-$by$-$step guide on how to integrate a Convolutional Neural Network $($CNN$)$ with the Cox Proportional Hazards $($CoxPH$)$ model using the pycox library for survival analysis. I have a basic understanding of CNNs$,$ the CoxPH model, and the pycox library, but I need help combining these elements effectively. Specifically, I would like guidance on the following:

Data Preparation: How should I format and preprocess survival data for use with a CNN$-$CoxPH model in pycox? What are the best practices for handling censored data and preparing it for CNN input?

Model Architecture: How do I design a CNN architecture that can be integrated with the CoxPH model in pycox? What are the key components and parameters I need to consider when setting up the model?

Model Implementation: How do I implement the CNN$-$CoxPH model using pycox? Are there specific functions or classes in pycox that facilitate this integration?

Training the Model: What are the steps involved in training the CNN$-$CoxPH model on survival data? How do I choose appropriate hyperparameters and ensure the model is well$-$fitted?

Evaluation and Interpretation: How can I evaluate the performance of my CNN$-$CoxPH model? What metrics should I use, and how do I interpret the results in the context of survival analysis?

Common Challenges: What are some common challenges or pitfalls when integrating CNNs with the CoxPH model using pycox, and how can I address them?

Please give me detail code. Thank you.