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

  • Forschungsthema:Medizinische Bildgebung für Modellierung und Simulation
  • Typ:Bachelorarbeit
  • Betreuung:

    M.Sc. Mark Daniel Arndt

  • Bearbeitung:

    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.