Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI
Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI
Cornelis Verhoef, Lorenzo Nardo, Jacob J. Visser, Simon Doran et al.
Citations
7 citations
Journal
EClinicalMedicine
Topics
Sarcoma Diagnosis and Treatment
Field-Weighted Citation Impact (FWCI)
2.93
article
Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI
Cornelis Verhoef, Lorenzo Nardo, Jacob J. Visser, Simon Doran, Wiro J. Niessen, Christina Messiou, Robin L. Jones, S. Lee, Stefan Klein, Khaled M. Elsayes, Stefanie Hakkesteegt, Yasser G. Abdelhafez, Melissa Vos, David F. Hanff, Dirk J. Grünhagen, Geert J.L.H. van Leenders, Martijn P. A. Starmans, Douwe J. Spaanderman, Loes M. Schiphouwer, Andrew Hayes, Atef Moawad, A R W Schut, T.M. Link
article en
7 citations
Abstract
No abstract available for this paper.
Publication Tag
EClinicalMedicineVol. 76
Institutions
Catholic Medical Center (US), University Medical Center Groningen (NL), The University of Texas MD Anderson Cancer Center (US), University of Groningen (NL), University of California, San Francisco (US), University of California, Irvine (US), Erasmus MC (NL), Royal Marsden Hospital (GB), Erasmus MC Cancer Institute (NL), UC Davis Health (US), Erasmus University Rotterdam (NL)
Funders
Royal Marsden NHS Foundation Trust, National Institute for Health and Care Research, Department of Health and Social Care, European Commission, National Cancer Institute