A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning.
- DOI
- 10.1038/s41598-023-33357-y
- Published
- 2023-04-25
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-023-33357-y,
title = {A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning.},
author = {Jin S and Yu S and Peng J and Wang H and Zhao Y.},
year = {2023},
journal = {Sci Rep},
doi = {10.1038/s41598-023-33357-y},
url = {https://doi.org/10.1038/s41598-023-33357-y}
}RIS
TY - JOUR TI - A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning. AU - Jin S AU - Yu S AU - Peng J AU - Wang H AU - Zhao Y. PY - 2023 JO - Sci Rep DO - 10.1038/s41598-023-33357-y UR - https://doi.org/10.1038/s41598-023-33357-y ER -
APA
S, J., S, Y., J, P., H, W., & Y., Z. (2023). A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning.. Sci Rep. https://doi.org/10.1038/s41598-023-33357-y
Source records
- europe-pmc · retrieved 2026-09-25T13:14:25.142Z