prof. Ing. Vanda Benešová, CSc.

Computer vision is gaining an increasingly important position in the automatic processing of medical visual data, especially radiological and histological images. The most important current topics of computer vision research in medical applications are related to the diagnosis of various diseases and their goal is to provide the doctor with additional relevant information, or to relieve him of some tasks in an automatic or semi-automatic mode.

To meet these goals, the development of new, robust computer vision methods using the modern approaches of deep neural networks is necessary.

We see challenges not only in the research of new methods of computer vision using deep learning, research of their interpretability and explainability, in the generation of data for the data augmentation, but also in the optimization of the process of iterative development of a new medical application, including the efficiency of the annotation process.

Research during the doctoral studies will focus on one of the mentioned areas.