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Classical image processing vs. computer vision techniques in automated computer-assisted detection of follicles in ultrasound images of ovary

机译:卵巢超声图像中自动化计算机辅助检测自动化计算机辅助检测的古典图像处理。

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A complete understanding of follicle dynamics inside ovary is crucial for the field of genetic engineering. Monitoring follicles over entire cycle is especially important in human reproduction. In Gore et al. (see Human Reproduction, no.10, p.2313-19, 1995) is stated that the outcome of a pregnancy is dependent upon the quality of the embryo. This, in turn, is dependent in part upon the quality of the female gamete oocyte contained in the dominant follicle (dominant follicles are those that grow and have potential to ovulate at the end of the follicular phase) and, therefore, the quality of the follicle itself which supports oocyte growth and maturation. Not all dominant follicles ovulate and of those that do, not all are of sufficiently high quality to result in pregnancy.
机译:完全了解卵巢内部的卵泡动力学对于基因工程领域至关重要。在整个周期上监测卵泡在人类繁殖中尤为重要。在gore等人。 (参见人类繁殖,第10号,第2313-19,1995号)表示怀孕的结果取决于胚胎的质量。反过来,这部分依赖于主导卵泡中所含的雌性配子卵母细胞的质量(显性卵泡是那些生长的那些,并且有可能在滤泡阶段的末端排卵),因此支持卵母细胞生长和成熟的卵泡本身。并非所有占优势的卵泡排卵,并不是那些那些,并非所有的质量都是足够的质量导致怀孕。

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