Speaker: Prof. Dr. Peter Horvath

Prof. Dr. Peter Horvath is currently the director and a group leader at the Biological Research Center in Szeged and holds a Finland Distinguished Professor (FiDiPro) Fellow position at the Institute for Molecular Medicine Finland, Helsinki. He graduated as a software engineer and received his Ph.D. from INRIA and University of Nice, Sophia Antipois, France in satellite image analysis. He is the co-founder of the European Cell-based Assays Interest Group and the councilor of the Society of Biomolecular Imaging and Informatics.
This webinar showcases
- A novel microscopic image correction method designed to eliminate illumination and uneven background effects
- New single-cell image segmentation methods using differential geometry, energy minimization and deep learning methods
- The Advanced Cell Classifier (ACC), a machine learning software tool capable of identifying cellular phenotypes based on features extracted from the image
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