Brain tumor segmentation by combining MultiEncoder UNet with wavelet fusion
The results demonstrate that our approach applies a novel concept for multimodal fusion within deep neural networks and delivers more accurate and promising brain tumor segmentation, with the potential to assist physicians in diagnosis.
Authors
- Jia Cong
- Guoyan Li (ORCID: https://orcid.org/0000-0003-3224-2824)
- Weijia Lu (ORCID: https://orcid.org/0000-0002-0234-9412)
- Yuheng Pan (ORCID: https://orcid.org/0000-0003-3773-8810)
- Haohan Yong
Institutions
- Tianjin Chengjian University (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1002/acm2.14527
- Citations
- 7
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.73
Funders
- National Natural Science Foundation of China
- Tianjin Research Innovation Project for Postgraduate Students
- Tianjin Science and Technology Program