Automatic Segmentation of Pericardial Edema in Irradiated Zebrafish Embryos Using Deep Learning

  • Research Area:Medical Imaging for Modeling and Simulation
  • Type:Bachelor thesis
  • Supervisor:

    M.Sc. Mark Daniel Arndt

  • Person in charge:

    Felix Ziegler

  • This thesis investigates the automatic segmentation of pericardial edema in irradiated zebrafish embryos using deep learning-based image analysis. The goal is to enable fast, objective, and reproducible assessment of radiation-induced morphological changes in preclinical research.