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Active contour with modified Otsu method for automatic detection of polycystic ovary syndrome from ultrasound image of ovary

机译：具有改进的OTSU方法的活性轮廓，用于自动检测卵巢超声图像多囊卵巢综合征

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摘要

Polycystic ovary syndrome (PCOS) disorder is identified by the presence of a number of follicles present in the ovary of female reproductive system. Ultrasound imaging of the ovary contains essential information about the size, number of follicles and its position. In real time, the detection of PCOS is a difficult task for radiologists due to the various sizes of follicles and is highly connected with blood vessels and tissues. This often results in error diagnosis. For preprocessing various standard filtering techniques are applied on ovary image. Based on the performance, appropriate filter is chosen to remove the noise from the image. This paper presents an effectual active contour with modified Otsu threshold value to automated discovery of follicles from the ultrasound images. The performances of the proposed method illustrate the betterments of the proposed approach over other techniques.
机译：通过在雌性生殖系统的卵巢中存在许多卵泡存在的多囊卵巢综合征（PCOS）病症。卵巢的超声成像包含有关尺寸，卵泡数及其位置的基本信息。实时地，由于各种毛囊的尺寸，PCOS的检测是放射科学家的难以任务，并且与血管和组织高度连接。这通常会导致诊断错误。为了预处理，各种标准滤波技术应用于卵巢图像。根据性能，选择适当的过滤器以消除图像中的噪声。本文介绍了具有修改的OTSU阈值的有效的主动轮廓，以自动发现来自超声图像的卵泡。所提出的方法的性能说明了所提出的方法对其他技术的提高。

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