The aim of the thesis is to design and implement a tool that will allow viewing the so-called whole slide image (WSI) data, commonly used in digital pathology. The result will be a web application serving as a platform for flexible visualization of a combination of input image data and their annotations created as an output of machine learning methods that were applied to the data. With its visualization and interaction options, the application should facilitate the routine work of pathologists (i.e., the possibility of manual annotation and quality control and editing of automatic annotation using machine learning, saving and sharing results), but also the work of developers of appropriate machine learning methods and the cooperation of these developers with pathologists. In addition, the tool should operate flexibly with data: enable simple integration into running systems and ensure effective remote communication. The solution also should include the implementation of primitive systems for recording data and their management (information system) demonstrating the use and integration of the resulting tool.