DeepNeXt: a lightweight polyp segmentation algorithm based on multi-scale attention
In conclusion, we have proposed the DeepNeXt network, a novel lightweight multi-scale attention segmentation network tailored for computationally limited medical devices, which provides strong support for accurate and efficient polyp segmentation in clinical applications.
Authors
- Shuo Shao (ORCID: https://orcid.org/0000-0003-2872-795X)
- Jiliang Zhai (ORCID: https://orcid.org/0000-0003-3441-8109)
- Chuantao Wang (ORCID: https://orcid.org/0000-0002-4025-094X)
- Saishuo Wang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-21
- DOI
- https://doi.org/10.21037/qims-24-985
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Chinese Academy of Medical Sciences
- Peking Union Medical College Hospital