Abstract: This study focuses on the development of an advanced imaging detection system for monitoring wound healing, employing cutting-edge techniques to provide accurate, real-time assessments of healing progress. The integration of machine learning models allows for the automatic classification of wound stages, offering valuable insights into the effectiveness of treatment protocols.

Supervisor: Adam Novozámský

Collaborating workplace: Ústavu biochemie a mikrobiologie VŠCHT