Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT is a research paper published in European Journal of Nuclear Medicine and Molecular Imaging (2020). On theSindex it has a DataRank of 0. It has been cited 61 times.
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Horizon 2020 Framework Programme
Grant: MSCA 764458
Research Foundation Flanders
Grant: G082418N
National Institutes of Health
Grant: 1P41EB017183-01A1 CAI2R TRDP #3
European Commission
Grant: 764458
Innovative Training Network towards raising and supporting the next generation of creative and entrepreneurial cross-speciality imaging experts
National Institutes of Health
Grant: 1P41EB017183-01A1
CAI2R Training and Dissemination
FWCI
9.08
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET
Additional file 1 of Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET