CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models
Publication
, Preprint
Fan, F; Martinez, G; Desilvio, T; Shin, J; Chen, Y; Wang, B; Ozeki, T; Lafarge, MW; Koelzer, VH; Barisoni, L; Madabhushi, A; Viswanath, SE ...
July 17, 2023
Duke Scholars
Publication Date
July 17, 2023
Citation
APA
Chicago
ICMJE
MLA
NLM
Fan, F., Martinez, G., Desilvio, T., Shin, J., Chen, Y., Wang, B., … Janowczyk, A. (2023). CohortFinder: an open-source tool for data-driven partitioning of
biomedical image cohorts to yield robust machine learning models.
Fan, Fan, Georgia Martinez, Thomas Desilvio, John Shin, Yijiang Chen, Bangchen Wang, Takaya Ozeki, et al. “CohortFinder: an open-source tool for data-driven partitioning of
biomedical image cohorts to yield robust machine learning models,” July 17, 2023.
Fan F, Martinez G, Desilvio T, Shin J, Chen Y, Wang B, et al. CohortFinder: an open-source tool for data-driven partitioning of
biomedical image cohorts to yield robust machine learning models. 2023.
Fan F, Martinez G, Desilvio T, Shin J, Chen Y, Wang B, Ozeki T, Lafarge MW, Koelzer VH, Barisoni L, Madabhushi A, Viswanath SE, Janowczyk A. CohortFinder: an open-source tool for data-driven partitioning of
biomedical image cohorts to yield robust machine learning models. 2023.
Publication Date
July 17, 2023