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Follicle detection in ultrasound images of ovaries using active contours method

机译:卵泡检测卵巢卵巢的卵形图像使用活性轮廓法

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Knowledge about the status of the female reproductive system is important for fertility problems and age related family planning. The volume of these fertility requests in our emancipated society is steadily increasing. Transvaginal ultrasound imaging of the follicles in the ovary gives important information about the ovarian aging, i.e., number of follicles, size, position and response to hormonal stimulation. Manual analysis of many follicles is laborious and error-prone. In this paper, a new method for recognition of follicles in ultrasound images of ovaries is proposed. This fully automated segmentation method is based on active contours without edge method. The proposed technique is tested on ultrasonographic images of ovaries. The experimental results are compared with inferences drawn by medical expert and demonstrate the efficacy of the method.
机译:关于女性生殖系统的地位的知识对于生育问题和年龄相关的计划生育是重要的。我们解放社会中这些生育率要求的数量稳步增加。卵巢中的卵泡的经阴道超声成像提供有关卵巢老化的重要信息,即卵泡,大小,位置和对荷尔蒙刺激的响应。对许多卵泡的手动分析是费力和易于出错的。本文提出了一种新方法,用于识别卵巢超声图像中的卵泡。这种完全自动分割方法基于没有边缘方法的活动轮廓。在卵巢的超声图像上测试了所提出的技术。将实验结果与医学专家绘制的推迟进行比较,并证明该方法的功效。

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