Computerized detection and recognition of follicles in ovarian ultrasound images: a review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11517-012-0956-y.pdf
Reference56 articles.
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3. Brannstrorm M, Zickrisson U, Hagstroom H (1998) Blood flow indices as measured by color doppler ultrasonography in different regions of the human periovulatory follicle. Fertil. Steril. 69:435–442
4. Chen T, Zhang W, Good S, Zhou K, Comaniciu D (2009) Automatic ovarian follicle quantification from 3-D ultrasound data using global/local context with database guided segmentation. In: Proceedings of the 12th IEEE conference on computer vision, Kyoto, pp 795–802
5. Cigale B, Zazula D (2004) Segmentation of ovarian ultrasound images using cellular neural. Intern. J. Pattern. Recognit. Artif. Intell. 18(4):563–581
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