Instance Segmentation of Neuronal Nuclei Leveraging Domain Adaptation

The detection and localization of individual cell nuclei in dense neural scenes collected by microscopy traditionally depends on human-expert-intensive manual markup for training and evaluating automatic algorithms. These approaches are expensive, time-intensive, and require domain expertise. To develop automatic approaches, the annotated content needs to match the collection conditions (e.g. stai...