Quantitative benchmarking shows that pretrained deep learning models outperform classical algorithms for nuclear segmentation, with Mesmer being the top candidate for multiplexed immunofluorescence in translational workflows.
- Abishek Sankaranarayanan
- Georgii Khachaturov
- Shachi Mittal
