Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.
Objectives: Develop and evaluate a deep learning-based automatic meningioma segmentation method for preoperative meningioma differentiation using radiomic features.Methods: A retrospective multicentre inclusion of MR examinations (T1/T2-weighted and contrast-enhanced T1-weighted imaging) was conduct...
| Published in: | European Radiology Vol. 32; no. 10; pp. 7248 - 7260 |
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| Main Authors: | , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Oct2022
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| Online Access: | View this record in EBSCOhost |