A Method for Segmentation of Glioma on Multimodal Magnetic Resonance Images Based on Wavelet Fusion and Deep Learning
An automatic algorithm based on wavelet fusion is proposed for segmenting brain glioma with blurred boundaries and complex intratumoral structures on multimodal magnetic resonance (MR) images. Firstly, the T1, T1ce, T2 and Flair MR images of brain glioma are fused with the bias field corrected. Seco...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2020-06-01
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| Series: | Chinese Journal of Magnetic Resonance |
| Subjects: | |
| Online Access: | http://121.43.60.238/bpxzz/EN/10.11938/cjmr20192709 |