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A fast and fully-automated deep-learning approach for accur..:
Arab, Ali
;
Chinda, Betty
;
Medvedev, George
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652921/. , 2020
Link:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652921/
RT Journal T1
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
UL https://suche.suub.uni-bremen.de/peid=base-ftpubmed:oai:pubmedcentral.nih.gov:7652921&Exemplar=1&LAN=DE A1 Arab, Ali A1 Chinda, Betty A1 Medvedev, George A1 Siu, William A1 Guo, Hui A1 Gu, Tao A1 Moreno, Sylvain A1 Hamarneh, Ghassan A1 Ester, Martin A1 Song, Xiaowei PB Nature Publishing Group UK YR 2020 K1 Article JF http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652921/ LK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652921/ DO http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652921/ SF ELIB - SuUB Bremen
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