Medical image analysis with visualization and segmentation of medical data is a very active field. Because of this, many tools for helping users with various tasks have already been developed. Price, platform dependency and inability to share and store data are just some of the problems that current solutions have. Therefore, in the master's thesis, we focus on the development of a new tool that tries to solve these problems. We first extend the RenderCore framework, which allows easier and faster development of applications for rendering 3D computer graphics within web browser. We add functionalities for working with volumetric data in the form of 3D textures. Based on the extension, we then develop web application Volume Viewer, which allows users to visualize and manually segment volumetric data. In the master's thesis, we describe the implementation of extension as well as parts and functionalities of developed application. We analyze the functionality of our application in a controlled environment with artificially generated data, as well as with real cases from practice. In the end, we present the possibilities for upgrading our application and the possibilities of using our application in various future projects.
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