- Title
- Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning
- Creators
- L. S. Hu - JDSU (United States)H. Yoon - Arizona State UniversityJ. M. Eschbacher - JiscL. C. Baxter - Anna Needs Neuroblastoma AnswersA. C. Dueck - Mayo Clinic in ArizonaA. Nespodzany - Anna Needs Neuroblastoma AnswersK. A. Smith - Norwegian Womens Public Health AssociationP. Nakaji - Norwegian Womens Public Health AssociationY. Xu - Arizona State UniversityL. Wang - Arizona State Universityet al.
- Publication Details
- American journal of neuroradiology : AJNR, Vol.40(3), pp.418-425
- Number of pages
- 8
- Grant note
- National Cancer Institute (http://data.elsevier.com/vocabulary/SciValFunders/100000054) Mayo Clinic (http://data.elsevier.com/vocabulary/SciValFunders/100000871) Arizona Biomedical Research Commission (http://data.elsevier.com/vocabulary/SciValFunders/100008335) National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002) U01CA220378 / National Cancer Institute (http://data.elsevier.com/vocabulary/SciValFunders/100000054) James S. McDonnell Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000913) Ben and Catherine Ivy Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100008222)
- Identifiers
- 991006263788202656
- Academic Unit
- Pathology
- Language
- English
- Resource Type
- Journal article
Journal article
Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning
American journal of neuroradiology : AJNR, Vol.40(3), pp.418-425
03/01/2019
PMID: 30819771
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