Fuzzy logic based quality of service calculation for real-time 3D video streaming

Today, the 3D evaluation of digitized medical image data is a routine examination in certain medical fields, we can think of the use of CT (Computer Tomography) or MRI (Magnetic Resonance Imaging) equipment. In contrast, the evaluation of 3D images and 3D data in digital pathology has not yet reached this level. One of the reasons for this is the resolution of digitized pathological sections, as well as the computing capacity required for the 3D reconstruction model created from them. In the course of our research, we designed and developed a solution that helps overcome difficulties arising from hardware resources with a technique called real-time network video streaming. Our solution enables users to collaboratively visualize 3D medical data even on low computing capacity devices. In the paper, we describe a part of this solution, which refers to the definition of the quality of service indicator. In our research, we implemented several solutions to define quality service in order to provide the best possible result to the user. In the paper, we describe and compare these solutions.