A multimodal complementary feature fusion network for myocardial pathological segmentation in multi-sequence cardiac magnetic resonance images
- DOI
- 10.21037/qims-2026-1-0189
- Published
- 2026-08
- Container
- Quantitative Imaging in Medicine and Surgery
- Publisher
- AME Publishing Company
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21037/qims-2026-1-0189,
title = {A multimodal complementary feature fusion network for myocardial pathological segmentation in multi-sequence cardiac magnetic resonance images},
author = {Chang-Jiang Zhang and Qi-Bin Hong and Min Zhou and Fu-Qin Tang and Hai-Peng Cai and Li-Li Feng},
year = {2026},
journal = {Quantitative Imaging in Medicine and Surgery},
doi = {10.21037/qims-2026-1-0189},
url = {https://doi.org/10.21037/qims-2026-1-0189}
}RIS
TY - JOUR TI - A multimodal complementary feature fusion network for myocardial pathological segmentation in multi-sequence cardiac magnetic resonance images AU - Chang-Jiang Zhang AU - Qi-Bin Hong AU - Min Zhou AU - Fu-Qin Tang AU - Hai-Peng Cai AU - Li-Li Feng PY - 2026 JO - Quantitative Imaging in Medicine and Surgery DO - 10.21037/qims-2026-1-0189 UR - https://doi.org/10.21037/qims-2026-1-0189 ER -
APA
Zhang, C., Hong, Q., Zhou, M., Tang, F., Cai, H., & Feng, L. (2026). A multimodal complementary feature fusion network for myocardial pathological segmentation in multi-sequence cardiac magnetic resonance images. Quantitative Imaging in Medicine and Surgery. https://doi.org/10.21037/qims-2026-1-0189
Source records
- crossref · retrieved 2026-09-26T00:16:11.105Z