Nerve Segmentation Using Multi-scale Attention Mechanism-U-Net
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6568-7_2
Reference10 articles.
1. Kim BS, Yu M, Kim S, Yoon JS, Baek S (2022) Scale-attentional U-Net for the segmentation of the median nerve in ultrasound images. Ultrasonography 41(4):706–717. https://doi.org/10.14366/usg.21214. Epub 2022 Mar 15. PMID: 35754116; PMCID: PMC9532202
2. Ronneberger O, Fischer P, Brox T (2015). U-Net: convolutional networks for biomedical image segmentation. arXiv:1505.04597
3. Zhao H, Sun N (2017) Improved U-net model for nerve segmentation. In: Zhao Y, Kong X, Taubman D (eds) Image and graphics. ICIG 2017. Lecture notes in computer science, vol 10667. Springer, Cham. https://doi.org/10.1007/978-3-319-71589-6_43
4. Panda S et al (2014) Robust optic nerve segmentation on clinically acquired CT. In: Medical Imaging 2014: Image Processing, vol 9034. SPIE
5. Al-Fahdawi S et al (2016) A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images. Comput Methods Progr Biomed 135:151–166
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