CenSegNet: a generalist high-throughput deep learning framework for centrosome phenotyping at spatial and single-cell resolution in heterogeneous tissues
Jiaoqi Cheng, Keqiang Fan, Miles Bailey, Xin Du, Rajesh Jena, Constantinos Savva, Ewan Reed, Mengyang Gou, Peixin Zuo, Ramsey Cutress, Stephen Beers, Xiaohao Cai, Salah Élias
CenSegNet quantifies centrosome abnormalities in breast cancer tissues at single-cell resolution, revealing subtype-specific associations with clinical and genomic features.
DOAJ (DOAJ: Directory of Open Access Journals) · Jul 1, 2026Peer-reviewedCell Biology