Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Objectives: Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly selected methods for imaging gliomas. Clinically, radiotherapists always delineate the CT glioma region with reference to multi-modal MR image information. On this basis, we develop a deep feature fusion...
| Publicado en: | European Radiology Vol. 30; no. 2; pp. 823 - 833 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2020
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| Acceso en línea: | Ver este registro en EBSCOhost |