Abstract
This work presents a framework for diagnosing sub-clinical endometritis, a common uterine disease in dairy cattle, based in the analysis of ultrasound images of the uterine horn. The main contribution consists in the feature extraction proposal, based on the characteristics that the expert takes into account for diagnosing, such as statistics measures, image textures, shape, custom thickness measures and histogram, among others. Given the segmentation of the different regions of the uterine horn, a fully automatic supervised classification is performed, using a model based on C-SVM. Two different datasets of ultrasound images were used, acquired and tagged by an expert. The proposed framework shows promising results, allowing to consider the development of a complete automatic procedure to measure morphological features of the uterine horn that may contribute in the diagnosis of the pathology.
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Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), 2037–2041 (2006)
Arias, P., Sprechmann, P., Pini, A., Sanguinetti, G., Cancela, P., Fernández, A., Gómez, A., Randall, G.: Ultrasound image segmentation with shape periors: Application to automatic cattle rib-eye area estimation. IEEE Transactions on Image Processing 16(6), 1637–1645 (2007)
Barlund, C., Carruthers, T., Waldner, C., Palmer, C.: A comparison of diagnostic techniques for postpartum endometritis in dairy cattle. Theriogenology 69, 714–723 (2008)
Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. arXiv preprint arXiv:1106.1813 (2011)
Di Martino, M., Fernández, A., Iturralde, P., Lecumberry, F.: Novel classifier scheme for imbalanced problems. Pattern Recognition Letters 34(10), 1146–1151 (2013)
Di Martino, M., Hernández, G., Fiori, M., Fernández, A.: A new framework for optimal classifier design. Pattern Recognition 46(8), 2249–2255 (2013)
Dolezel, R., Vecera, M., Palenik, T., Cech, S., Vyskocil, M.: Systematic clinical examination of early postpartum cows and treatment of puerperal metritis did not have any beneficial effect on subsequent reproductive performance. Veterinarni Medicina 53(2), 59 (2008)
Garcıa, V., Sánchez, J.S., Mollineda, R.A.: On the suitability of numerical performance measures for class imbalance problems. In: International Conference in Pattern Recognition Applications and Methods, pp. 310–313 (2012)
Gilbert, R.O., Shin, S.T., Guard, C.L., Erb, H.N., Frajblat, M.: Prevalence of endometritis and its effects on reproductive performance of dairy cows. Theriogenology 64(9), 1879–1888 (2005)
Gnemmi, G.: Ultrasonography in bovine reproduction. Seminar of Poland Buiatric Association (2012)
Gnemmi, G., Ferrari, E., Maraboli, C.: Endometrite clinica e subclinica. Significato della diagnosi e prospettive terapeutiche. Summa Veterinaria, pp. 1–7 (September 2013)
Gnemmi, G., Maraboli, C.: Endometrite subclinica nel bovino da latte. Summa Veterinaria, pp. 38–42 (August 2010)
Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. The Journal of Machine Learning Research 3, 1157–1182 (2003)
Khan, J.A., Kumar, P., Paramasivam, M., Yadav, R.S., Sahani, M.S., Sharma, S., Srinivasan, A., Singh, T.P.: Camel lactoferrin, a transferrin-cum-lactoferrin: crystal structure of camel apolactoferrin at 2.6 å resolution and structural basis of its dual role. Journal of Molecular Biology 309(3), 751–761 (2001)
LeBlanc, S., Duffield, T., Leslie, K., Bateman, K., Keefe, G.P., Walton, J., Johnson, W.: Defining and diagnosing postpartum clinical endometritis and its impact on reproductive performance in dairy cows. Journal of Dairy Science 85(9), 2223–2236 (2002)
Lee, J.H., Seong, Y.K., Chang, C.H., Park, J., Park, M., Woo, K.G., Ko, E.Y.: Fourier-based shape feature extraction technique for computer-aided b-mode ultrasound diagnosis of breast tumor. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6551–6554 (2012)
Lewis, G.S.: Uterine health and disorders. Journal of Dairy Science 80(5), 984–994 (1997)
Manning, C.D., Raghavan, P., Schütze, H.: Introduction to information retrieval, vol. 1. Cambridge University Press, Cambridge (2008)
Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 629–639 (1990)
Pol, M., Ruegg, P.: Treatment practices and quantification of antimicrobial drug usage in conventional and organic dairy farms in wisconsin. Journal of Dairy Science 90(1), 249–261 (2007)
Scholkopf, B., Smola, A.: Learning with kernels (2002)
Sheldon, I.M., Lewis, G.S., LeBlanc, S., Gilbert, R.O.: Defining postpartum uterine disease in cattle. Theriogenology 65(8), 1516–1530 (2006)
Sheldon, I.M., Williams, E.J., Miller, A.N., Nash, D.M., Herath, S.: Uterine diseases in cattle after parturition. The Veterinary Journal 176(1), 115–121 (2008)
Sheldon, I., Cronin, J., Goetze, L., Donofrio, G., Schuberth, H.: Defining Postpartum Uterine Disease and the Mechanisms of Infection and Immunity in the Female Reproductive Tract in Cattle 81(6), 1025–1032 (2010)
Tailanian, M., Lecumberry, F., Gnemmi, G.: Measuring thickness profile between closed curves applied to endometritis detection on in dairy cattle. Tech. rep., Facultad de Ingeniería, IIE - Project ANII FMV 2 2011 1 7376 (2014), http://iie.fing.edu.uy/publicaciones/2014/TLG14
Thijssen, J., Starke, A., Weijers, G., Haudum, A., Herzog, K., Wohlsein, P., Rehage, J., De Korte, C.: Computer-aided b-mode ultrasound diagnosis of hepatic steatosis: a feasibility study. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 55(6), 1343–1354 (2008)
Thijssen, J., Weijers, G., Starke, A., Haudum, A., Herzog, K., Rehage, J., De Korte, C.: Non-invasive staging of hepatic steatosis using computer-aided ultrasound diagnosis. In: Ultrasonics Symposium, IUS 2008, pp. 1987–1990. IEEE (November 2008)
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Tailanián, M. et al. (2014). Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques. In: Bayro-Corrochano, E., Hancock, E. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2014. Lecture Notes in Computer Science, vol 8827. Springer, Cham. https://doi.org/10.1007/978-3-319-12568-8_84
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DOI: https://doi.org/10.1007/978-3-319-12568-8_84
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