Ontology highlight
ABSTRACT:
SUBMITTER: Israel U
PROVIDER: S-EPMC10690226 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Israel Uriah U Marks Markus M Dilip Rohit R Li Qilin Q Yu Changhua C Laubscher Emily E Iqbal Ahamed A Pradhan Elora E Ates Ada A Abt Martin M Brown Caitlin C Pao Edward E Li Shenyi S Pearson-Goulart Alexander A Perona Pietro P Gkioxari Georgia G Barnowski Ross R Yue Yisong Y Van Valen David D
bioRxiv : the preprint server for biology 20250216
Cells are a fundamental unit of biological organization, and identifying them in imaging data - cell segmentation - is a critical task for various cellular imaging experiments. While deep learning methods have led to substantial progress on this problem, most models are specialist models that work well for specific domains but cannot be applied across domains or scale well with large amounts of data. In this work, we present CellSAM, a universal model for cell segmentation that generalizes acros ...[more]