CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation.

ABSTRACT: Automated cellular instance segmentation is a process utilized for accelerating biological research for the past two decades, and recent advancements have produced higher quality results with less effort from the biologist. Most current endeavors focus on completely cutting the researcher out of the picture by generating highly generalized models. However, these models invariably fail when faced with novel data, distributed differently than the ones used for training. Rather than approaching the problem with methods that presume the availability of large amounts of target data and computing power for retraining, in this work we address the even greater challenge of designing an approach that requires minimal amounts of new annotated data as well as training time. We do so by designing spec

SUBMITTER: Keaton MR 

PROVIDER: S-EPMC10760785 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature