Medical images classification, segmentation and detection in VR

My project is a development of 3 computer vision models: 1. A model for workflow classification; 2. A model for medical equipment detection; 3. A model for scene segmentation (segmenting organs and surgical Tools); NB: I have found out that there is a lack of VR medical imaginary datasets. That is why I suggest to use domain adaptation technique for developing ML models. In other words, I suggest to compare two approach: transforming ordinary images to make them similar to VR images, transforming VR images to adopt them to the original data domain.