UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples
Bogdan Kochetov, Phoenix D. Bell, Paulo S. Garcia, Akram S. Shalaby, Rebecca Raphael, Benjamin Raymond, Brian J. Leibowitz, Karen Elizabeth Schoedel, Rhonda M. Brand, Randall E. Brand, Jian Yu, Lin Zhang, Brenda B. Diergaarde, Robert E. Schoen, Aatur Dilip Singhi, Shikhar Uttam
UNSEG provides an unsupervised method for segmenting cells and their nuclei in complex tissue samples without training data, outperforming deep learning methods in generalization and consistency.
Communications Biology · Aug 30, 2024Peer-reviewedBioinformatics