PhD - Machine Learning

Data preparation and training of convolutional neural networks to improve cancer cell detection and origin prediction Comparison and selection of cell segmentation algorithms and optimization for cerebrospinal fluid samples Development of interactive visualization and reporting tools for diagnostics and collaborative research projects Implementation of explainable AI methods and confidence scores to increase the interpretability of classification results for diagnostic use Establishment of a diagnostic workflow for deep learning-based cerebrospinal fluid cell analysis for a clinical evaluation period (12 months) in parallel to routine diagnostics