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Neural Image Analysis in the Process of Quality Assessment Domestic Pig Oocytes

机译：家猪卵母细胞质量评估过程中的神经图像分析

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The questions related to quality classification of animal oocytes are explored by numerous scientific and research centres. This research is important, particularly in the context of improving the breeding value of farm animals. The methods leading to the stimulation of normal development of a larger number of fertilised animal oocytes in extracorporeal conditions are of special importance. Growing interest in the techniques of supported reproduction resulted in searching for new, increasingly effective methods for quality assessment of mammalian gametes and embryos. Progress in the production of in vitro animal embryos in fact depends on proper classification of obtained oocytes. The aim of this paper was the development of an original method for quality assessment of oocytes, performed on the basis of their graphical presentation in the form of microscopic digital images. The classification process was implemented on the basis of the information coded in the form of microphotographic pictures of the oocytes of domestic pig, using the modern methods of neural image analysis.
机译：许多科学和研究中心都在探讨与动物卵母细胞质量分类有关的问题。这项研究非常重要，特别是在提高农场动物育种价值的背景下。导致在体外条件下刺激大量受精动物卵母细胞正常发育的方法特别重要。对支持繁殖技术的日益增长的兴趣导致寻找新的，越来越有效的方法来评估哺乳动物配子和胚胎的质量。实际上，体外动物胚胎生产的进展取决于获得的卵母细胞的正确分类。本文的目的是开发一种卵母细胞质量评估的原始方法，该方法以显微数字图像的图形表示形式进行。使用现代神经图像分析方法，以编码的家猪卵母细胞显微照片形式的信息为基础，进行分类过程。

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