Abstract
In the field of assisted reproductive technologies, ICSI fertilization is a medically-assisted reproduction technique, enabling infertile couples to achieve successful pregnancy. In this field crucial points are: the analysis of clinical data of the patient, aimed at adopting an appropriate stimulation protocol to obtain an adequate number of oocytes, and the selection of the best oocytes to fertilize. In this paper we would provide a framework able to extract useful morphological features from oocyte images that combined with the provided clinical data of the patients can be used to discover new information for defining therapeutic plans for new patients as well as selecting the most promising oocytes.
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References
Griffin, J., Emery, B.R., Huang, I., Peterson, M.C., Carrell, D.T.: Comparative analysis of follicle morphology and oocyte diameter in four mammalian species. Journal of Experimental & Clinical Assisted Reproduction 3, 2 (2006)
Losa, G., Peretti, V., Ciotola, F., Cocchia, N., De Vico, G.: The use of fractal analysis for the quantification of oocyte cytoplasm morphology. In: Fractals in Biology and Medicine, pp. 75–82 (2005)
Montag, M., Schimming, T., Kster, M., Zhou, C., Dorn, C., Rsing, B., van, d.V.H., Ven, d.V.K.: Oocyte zona birefringence intensity is associated with embryonic implantation potential in icsi cycles. Reprod. Biomed. Online 16, 239–244 (2008)
Morales, D.A., Bengoetxea, E., Larrañaga, P., García, M., Franco, Y., Fresnada, M., Merino, M.: Bayesian classification for the selection of in vitro human embryos using morphological and clinical data. Computer Methods and Programs in Biomedicine 90, 104–116 (2008)
Uyar, A., Ciray, H.N., Bener, A., Bahceci, M.: 3P: Personalized pregnancy prediction in ivf treatment process. In: Weerasinghe, D. (ed.) eHealth, Social Informatics and Telecommunications Engineering. Lecture Notes of the Institute for Computer Sciences, vol. 1, pp. 58–65. Springer, Heidelberg (2009)
Morales, D.A., Bengoetxea, E., Larranaga, P.: XV-Gaussian-Stacking Multiclassifiers for Human Embryo Selection. In: Data Mining and Medical Knowledge Management: Cases and Applications, IGI Global Inc. (2009)
Rjinders, P., Jansen, C.: The predictive value of day 3 embryo morphology regarding blastocysts formation, pregnancy and implantation rate after day 5 transfer following in-vitro fertilisation or intracytoplasmic sperm injection. Hum. Reprod. 13, 2869–2873 (1998)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice-Hall, Inc., Upper Saddle River (2006)
Veek, L.L.: An Atlas of Human Gametes and Conceptuses: An Illustrated Reference for Assisted Reproductive Technology. Parthenon (1999)
Di Mauro, N., Basile, T., Ferilli, S., Esposito, F.: Approximate relational reasoning by stochastic propositionalization. In: Ras, Z.W., Tsay, L.S. (eds.) Advances in Information and Intelligent Systems. Studies in Computational Intelligence, vol. 265, pp. 81–109. Springer, Heidelberg (2010)
Esposito, F., Ferilli, S., Fanizzi, N., Basile, T.M.A., Di Mauro, N.: Incremental learning and concept drift in INTHELEX. Intell. Data Anal. 8, 213–237 (2004)
Muggleton, S., De Raedt, L.: Inductive logic programming: Theory and methods. Journal of Logic Programming 19(20), 629–679 (1994)
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Basile, T.M.A., Esposito, F., Caponetti, L. (2010). A Multi-relational Learning Approach for Knowledge Extraction in in Vitro Fertilization Domain. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_55
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DOI: https://doi.org/10.1007/978-3-642-17289-2_55
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