Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI

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Publication Details

Journal
EClinicalMedicine
Published
2024-09-19
DOI
https://doi.org/10.1016/j.eclinm.2024.102802
Citations
7
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.93

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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 et al.
7 citations
EClinicalMedicine
Sarcoma Diagnosis and Treatment
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.
EClinicalMedicineVol. 76
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)
Royal Marsden NHS Foundation Trust, National Institute for Health and Care Research, Department of Health and Social Care, European Commission, National Cancer Institute
Openalex Percentile: Top 8%
Sarcoma Diagnosis and Treatment
2.93
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