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References
|
Agarwal A, Sharma RK (2007). Automation is the key to standardized semen analysis using the automated SQA-V sperm quality analyzer. Fertil. Steril. 87(1):152-162. |
|
|
Ahmed H, Hassan Andrabi S, Jahan S (2016). Semen quality parameters as fertility predictors of water buffalo bull spermatozoa during low-breeding season. Theriogenology 86(6):1516-1522. |
|
|
Baracaldo M, Barth A, Bertrand W (2007). Steps for Freezing Bovine Semen: From Semen Collection to the Liquid Nitrogen Tank. IVIS Reviews in Veterinary Medicine. Available from: View. |
|
|
Bishop C (2006). Pattern recognition and machine learning. Springer, Cap 4:179-220. |
|
|
Contri A, Valorz C, Faustini M, Wegher L, Carluccio A (2010). Effect of semen preparation on casa motility results in cryopreserved bull spermatozoa. Theriogenology 74(3):424-435. |
|
|
DANE (2016). Monthly bulletin, inputs and factors associated with agricultural production. Livestock cattle for the production of meat in Colombia, under good livestock practices. View. |
|
|
Giaretta E, Munerato M, Yeste M, Galeati G, Spinaci M, Tamanini C, Mari G, Bucci D (2017). Implementing an open-access CASA software for the assessment of stallion sperm motility: Relationship with other sperm quality parameters. Anim. Reprod. Sci. 176(1):11-19. |
|
|
Gonzalez R, Woods R (2008). Some basic relationships between pixels: Digital Image Processing. Prentice Hall., Cap. 2:34-71. |
|
|
Hidalgo O, Tamargo M, Diez M (2017). Análisis del semen bovino. http://www.serida.org/pdfs/1495.pdf. |
|
|
Ibȃnescu I, Leiding C, Gregore S, Rosca P, Sfartz I, Drugociu D (2016). Differences in CASA output according to the chamber type when analyzing frozen-thawed bull sperm. Anim. Reprod. Sci. 166:72-79. |
|
|
Imani Y, Teyfouri N, Reza M, Golabbakhsh M (2014). A New Method for Multiple Sperm Cells Tracking. J. Med. Signals Sensors 4:35-42. |
|
|
Kalman R (1960). A new apprach to linear filtering and prediction problems. J. Basic Eng. 82:35-45. |
|
|
Livestock Context (2017). Bull semen, key to milk production with more protein and fat. View. |
|
|
Lu JC, Huang YF, Lu NQ (2014). Computer aided sperm analysis: past. Present and future. Andrology 46(4):329-338. |
|
|
Maintz T (2005). Mathematical morphology. Digital and medical image processing. Cap 6:121-160. |
|
|
Munkres J (1957). Algorithms for the assignment and tranportation problems. J. Soc. Ind. Appl. Math. 5:32-38. |
|
|
Nagy Á, Polichronopoulos T, Gáspárdy A, Solti L, Cseh S (2015). Correlation between bull fertility and sperm cell velocity parameters generated by computer-assisted semen analysis. Acta Vet. Hung. 63(3):370-381. |
|
|
Piccardi M (2004). Background subtraction techniques: a review. IEEE International Conference on Systems, Man and Cybernetics. DOI 10.1109/ICSMC.2004.1400815. Available from: View. |
|
|
Ravanfar M, Azinfar L, Hassan Moradi M, Fazel-Rezai R (2014). Occlusion Robust Low-Contrast Sperm Tracking Using Switchable Weight Particle Filtering. Adv. Sex. Med. 4:42-54. |
|
|
Rezagholizadeh A, Gharagozlou F, Niasari-Naslaji A, Akbarinejad V, Ziapour S (2015). Evaluation of Sperm Characteristics in Caspian Stallions Using Computer-Assisted Sperm Analysis. J. Equine Vet. Sci. 35:505-509. |
|
|
Simonik O, ŠichtaÅ™ J, Stádník L, Biniova Z (2015). Computer assisted sperm analysis – The relationship to bull field fertility, possible errors and their impact on outputs: A review. Indian J. Anim. Sci. 85:3-11. |
|
|
Stauffer C, Grimson W (1999). Adaptive background mixture models for real-time tracking. View. |
|
|
Szeptycki J, Bentov Y (2016). Cryopreservation of Embryos and Gametes: Past, Present, and Future. Cryopreservation in Eukaryotes. Available from: View. |
|
|
Urbano L, Masson P, VerMilyea M, Kam M (2017). Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images. IEEE Trans. Med. Imaging 36(3):792-801. |
|
|
Vincent P, Underwood S, Dolbec C, Bouchard N, Kroetsch T, Blondin P (2012). Bovine semen quality control in artificial insemination centers. Anim Reprod. 9(3):153-165. |
|
|
Wilson-Leedy J, Ingermann R (2007). Development of a novel CASA system based on open source software for characterization of zebrafish sperm motility parameters. Theriogenology 67(3):661-672. |
|
|
WHO-World Health Organization (2010). Laboratory manual for the Examination and processing of human semen. 5th Ed. Switzerland. |
|
|
Ye Z, Hu Z, Lai X, Chen H (2012). Image Segmentation Using Thresholding and Swarm Intelligence. J. Softw. 7(5):1074-1082. |
|
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