Image Analysis

This research focuses on developing methods for processing, characterizing, and classifying biomedical images using machine learning and AI technologies.

Through the creation of custom software and IT tools, the group actively collaborates with various hospital and private research institutes. Their aim is to propose innovative clinical decision support systems that assist healthcare professionals during the diagnostic process.

The proposed solutions cover a wide range of image types, including radiological, histopathological, cytological, optical and electronic microscopy, MRI, slit-lamp imaging, and smartphone photography. Special emphasis is placed on the explainability of the developed analysis models and their computational efficiency, to ensure they can be distributed on a large scale.