[FEA]DICOM Image Toolkits and Pipeline for CT, MR etc

[YongnanJi]

For medical imaging inference, DICOM loading, resampling, morphology, window location and width adjustment are commonly used in both training and inference. However most of them are in GPU packages like ITK/VTK, numPy etc. There is either a toolkit set nor an example pipeline/tutorial to support these tasks on GPU.

Following is expected features: 1. A Toolkit package for pre- and post processing including but not limited to DICOM Loading, Volume resampling, Windows location/width adjusting, batching, morphology filtering, connect component extraction etc. 2. A demo/example code that could use above features to make a inference pipeline on GPU, together with AI inference. So the whole inference pipeline is on GPU. 3. Compling tools that could deploy the pipeline as a compiled engine.