Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation
Reference21 articles.
1. Teng, L., Li, H., Yin, S., & Sun, Y. (2019). Improved krill group-based region growing algorithm for image segmentation. International Journal of Image and Data Fusion., 10(4), 327–341. https://doi.org/10.1080/19479832.2019.1604574
2. Arora, J., & Tushir, M. (2020). Intuitionistic level set segmentation for medical image segmentation. Recent Advances in Computer Science and Communications, 13, 1039–1046.
3. Yang, B., Liu, X., & Zhang, J. (2020). Medical image segmentation based on deep feature aggregation network. Computer Engineering. https://doi.org/10.19678/j.issn.1000-3428.0057330
4. Yin, S., Meng, L., & Liu, J. (2019). A new apple segmentation and recognition method based on modified fuzzy C-means and hough transform. Journal of Applied Science and Engineering., 22(2), 349–354.
5. Bi, J., & Yin, S. (2018). A new graph semi-supervised learning method for medical image automatic annotation. In 2018 IEEE International Congress on Cybermatics i-Things, Halifax, NS, Canada, Canada. https://doi.org/10.1109/Cybermatics_2018.2018.00041.
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