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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/152248 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |