Thanks for your nice work, it's truly remarkable. Currently, I'm in the process of reproducing your work, specifically the part dealing with 3D volume data, as mentioned in your paper.
However, I've encountered a challenge in calculating the Persistent Homology (PH) of 3D images. I've been utilizing the 'TopoLayer' Python package, but it appears that the function 'LevelSetLayer3D', which I presume is crucial for this task, isn't available.
Could you kindly provide some guidance or suggest an alternative method for computing PH on 3D volume data? Any assistance you could provide would be greatly appreciated.
Thank you for your time and consideration. I look forward to your response.
Hi,
I hope this message finds you well.
Thanks for your nice work, it's truly remarkable. Currently, I'm in the process of reproducing your work, specifically the part dealing with 3D volume data, as mentioned in your paper.
However, I've encountered a challenge in calculating the Persistent Homology (PH) of 3D images. I've been utilizing the 'TopoLayer' Python package, but it appears that the function 'LevelSetLayer3D', which I presume is crucial for this task, isn't available.
Could you kindly provide some guidance or suggest an alternative method for computing PH on 3D volume data? Any assistance you could provide would be greatly appreciated.
Thank you for your time and consideration. I look forward to your response.
Best regards