Segmentation of glioblastomas via 3D FusionNet
FusionNet combines the benefits of U-Net and SegNet, outperforming the tumor segmentation performance of both. Although our model effectively segments brain tumors with competitive accuracy, we plan to extend the framework to achieve even better segmentation performance.
Authors
- Peng Yue (ORCID: https://orcid.org/0000-0003-3006-4542)
- Feng Chen
- Wenbin Li (ORCID: https://orcid.org/0000-0001-8821-8992)
- Botao Zhang (ORCID: https://orcid.org/0000-0001-8789-8797)
- Xiangyu Guo (ORCID: https://orcid.org/0000-0002-7886-2220)
Institutions
- Capital Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-15
- DOI
- https://doi.org/10.3389/fonc.2024.1488616
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.49
Funders
- University of Pennsylvania