Medical ultrasound image segmentation using Multi-Residual U-Net architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16461-z.pdf
Reference52 articles.
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3. Al-Dhabyani W, Gomaa M, Khaled H, Fahmy A (2020) Dataset of breast ultrasound images. Data Brief 28:104863. https://doi.org/10.1016/j.dib.2019.104863
4. Almajalid R, Shan J, Du Y, Zhang M (2018). Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation, 17th IEEE Int. Conf. on Machine Learning and Applications (ICMLA), Orlando, FL, 2018, pp. 1103–1108, https://doi.org/10.1109/ICMLA.2018.00179
5. Asma K, Asma B, Antoine M, Mohamed HB (2016) A coronary artery segmentation method based on multiscale analysis and region growing. Comp Med Imag Graph 48:49–61. https://doi.org/10.1016/j.compmedimag.2015.12.004
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2. Research on Medical Image Segmentation Method Based on Improved U-Net3+;Critical Reviews in Biomedical Engineering;2024
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