Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT
Crossref DOI link: https://doi.org/10.1007/s10278-019-00207-1
Published Online: 2019-06-07
Published Print: 2020-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Dreizin, David https://orcid.org/0000-0002-0176-0912
Zhou, Yuyin
Zhang, Yixiao
Tirada, Nikki
Yuille, Alan L.
Funding for this research was provided by:
RSNA R&E Foundation Research Scholar Grant (RSCH1605)
Text and Data Mining valid from 2019-06-07
Version of Record valid from 2019-06-07
Article History
First Online: 7 June 2019
