Follicle Segmentation Using K-Means Clustering from Ultrasound Image of Ovary
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-7834-2_51
Reference8 articles.
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2. Hiremath, P.S., Tegnoor, J.R.: Automatic detection of follicles in ultrasound images of ovaries using active contours method. In: The proceedings of IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 28–29 (2010)
3. Hiremath, P.S., Tegnoor, J.R.: Automatic detection of follicles in ultrasound images of ovaries using edge based method. Int. J. Comput. Appl. Special Issue Recent Trends Image Process. Pattern Recogn.1, 5–16 (2010)
4. Deng, Y., Wang, Y., Shen, Y.: An automated diagnostic system of polycystic ovary syndrome based on object growing. J. Artif. Intell. Med. 51(3), 199–209 (2011)
5. Lawrence, M.J., Eramian, M.G., Pierson, R.A., Neufeld, E.: Computer assisted detection of polycystic ovary morphology in ultrasound images. In: Fourth IEEE Canadian Conference on Computer and Robot Vision (CRV), vol. 7, pp. 105–112 (2007)
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