Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Noah F. Greenwald(Stanford University), Geneva Miller(California Institute of Technology), Erick Moen(California Institute of Technology), Alex Kong(Stanford University), Adam Kagel(Stanford University), Thomas Dougherty(California Institute of Technology), Christine Camacho Fullaway(Stanford University), Brianna J. McIntosh(Stanford University), Ke Xuan Leow(Stanford University), Morgan Schwartz(California Institute of Technology), Cole Pavelchek(California Institute of Technology), Sunny Cui(California Institute of Technology), Isabella Camplisson(California Institute of Technology), Omer Bar-Tal(Weizmann Institute of Science), Jaiveer Singh(Stanford University), Mara Fong(Brown University), Gautam Chaudhry(Stanford University), Zion Abraham(Stanford University), Jackson Moseley(Stanford University), Shiri Warshawsky(Stanford University), Erin Soon(Stanford University), Shirley Greenbaum(Stanford University), Tyler Risom(Stanford University), Travis J. Hollmann(Memorial Sloan Kettering Cancer Center), Sean C. Bendall(Stanford University), Leeat Keren(Weizmann Institute of Science), William D. Graf(California Institute of Technology), Michael Angelo(Stanford Medicine), David Van Valen(California Institute of Technology)
Nature Biotechnology
November 18, 2021
Cited by 886Open Access
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