TAC-UNet: transformer-assisted convolutional neural network for medical image segmentation
Our TAC-UNet model showed advanced segmentation performance on small-scale medical image datasets. The detailed experimental results showed the effectiveness of the method. Our model's code is available at: https://github.com/hejlhello/TAC-UNet.
Authors
- Chunming Wu
- Mingyue Yang (ORCID: https://orcid.org/0000-0002-9219-4046)
- Yuqi Ma (ORCID: https://orcid.org/0009-0001-1617-6823)
- Wen‐Song Yang (ORCID: https://orcid.org/0000-0003-3703-4565)
- Shanxiong Chen (ORCID: https://orcid.org/0000-0001-6179-8333)
- Jingliu He
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-11
- DOI
- https://doi.org/10.21037/qims-24-1229
- Citations
- 9
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 2.23
Funders
- Chongqing University
- Chongqing University of Technology
- Chongqing Municipal Education Commission
- Centre Scientifique et Technique du Bâtiment