AUTOMATIC SEGMENTATION OF THE BLADDER USING DEFORMABLE MODELS
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4193196/4193197/04193433.pdf?arnumber=4193433
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation;IEEE Journal of Biomedical and Health Informatics;2024-08
2. MSEDTNet: Multi-Scale Encoder and Decoder with Transformer for Bladder Tumor Segmentation;Electronics;2022-10-17
3. A New Segmentation Method to Preserve the Underlying Image Features: U-Net with Multi-scale Pooling;2021 IEEE International Conference on Robotics and Biomimetics (ROBIO);2021-12-27
4. Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder model;Physics in Medicine and Biology;2012-05-30
5. A geodesic deformable model for automatic segmentation of image sequences applied to radiation therapy;International Journal of Computer Assisted Radiology and Surgery;2010-07-20
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