Deformable registration for nasopharyngeal carcinoma using adaptive mask and weight allocation strategy based CycleFCNs model
Abstract Background Deformable registration plays an important role in the accurate delineation of tumors. Most of the existing deep learning methods ignored two issues that can lead to inaccurate registration, including the limited field of view in MR scans and the different scanning angles that ca...
Saved in:
| Main Authors: | Yi Guo, Jun Chen, Lin Lu, Lingna Qiu, Linzhen Lan, Feibao Guo, Jinsheng Hong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | Radiation Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13014-025-02603-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Complex Large-Deformation Multimodality Image Registration Network for Image-Guided Radiotherapy of Cervical Cancer
by: Ping Jiang, et al.
Published: (2024-12-01) -
Benchmarking and performance evaluation of a novel deformable image registration software for radiotherapy CT images
by: Shorug S. Alshammari, et al.
Published: (2024-12-01) -
Collision Constraints and Diffeomorphisms: Dealing With Physics in Deformable Image Registration
by: Thomas Alscher, et al.
Published: (2025-01-01) -
Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration
by: Monire Sheikh Hosseini, et al.
Published: (2025-05-01) -
The DEM Registration Method Without Ground Control Points for Landslide Deformation Monitoring
by: Yunchuan Wang, et al.
Published: (2024-11-01)