3D multi-modality medical image registration with GAN-based synthetic image augmentation
Medical image registration is a crucial yet challenging task in medical image analysis and processing. we propose an end-to-end unsupervised multi-modality deformable image registration network with CycleGAN augmentation. The proposed method is designed for intra-subject brain MRI-CT registration. T...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/152248 |