Brain Tumor Segmentation for Multi-Modal MRI with Missing Information.
Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI sequences allows networks to explore complementary tumor information for segmentation. Howev...
| Published in: | Journal of Digital Imaging Vol. 36; no. 5; pp. 2075 - 2088 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2023
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| Online Access: | View this record in EBSCOhost |