Á. Kiss

Standardization, Benchmarking, and Fine-Tuning in Deep Learning-Based Cell Segmentation and Tracking

Particular attention is given to small-sample fine-tuning and human-in-the-loop workflows, which aim to adapt pretrained segmentation and tracking models to laboratory-specific microscopy data while reducing annotation effort and improving the reliability of downstream biological conclusions.