An improved multi-scale feature extraction network for medical image segmentation
The results of this study indicate that the proposed model can more accurately segment regions of interest and better extract multi-scale features in medical images than existing deep-learning algorithms.
Authors
- Haoyu Guo (ORCID: https://orcid.org/0000-0002-5741-9385)
- Jinlong Liu (ORCID: https://orcid.org/0000-0001-9683-9043)
- Liuliu Shi
Institutions
- University of Shanghai for Science and Technology (CN)
- Shanghai Jiao Tong University (CN)
- Shanghai University of Electric Power (CN)
- Shanghai Children's Medical Center (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-11
- DOI
- https://doi.org/10.21037/qims-24-1022
- Citations
- 5
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.24
Funders
- National Natural Science Foundation of China