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Active contour bilateral filter for breast lesions segmentation on ultrasound images

机译:主动轮廓双边过滤器用于超声图像上的乳腺病变分割

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Breast cancer is most malignancy in woman worldwide. Mammography, the primary modality for early detection of breast cancer in women > 40 years old has some limitations. The low sensitivity of Mammography to find abnormalities in dense breast and young woman and the low specificity to determine the cystic and solid lesions causes unnecessary biopsy. In recent decades, ultrasound imaging has been widely used as the best modality in identifying breast lesion and it has proven to be a valuable addition to mammography. Ultrasound can distinguish between cystic and solid mass thus improving the accuracy of diagnosis. The crucial step in this process is lesion segmentation because a lot of important features for identifying suspicious lesions are related to lesion shape and boundary. Clinicians are expecting the lesion area can be localized from normal tissue appropriately. Active Contour technique is proposed for this purpose. It can detect the edges of breast lesions and separating normal tissue iteratively. But the character of the ultrasound image that brings speckle noise make difficult to do segmentation process. It also resulted in interpretation errors and inaccuracies diagnosis made by a doctor. Therefore speckle noise reduction method is needed in order to become more assertive edge of the lesion and well segmented without losing information inside the image. Here, speckle noise reduction is done with Bilateral Filter. Comparison of Active Contour breast lesions segmentation with and without the Bilateral Filter is attached at the end of this paper. The combination of Bilateral Filter with Active Contour showed better results with the edge of the lesion is firmly and clear.
机译:乳腺癌是全世界女性中最严重的恶性肿瘤。乳腺钼靶检查是40岁以上女性早期发现乳腺癌的主要方式,但有一定的局限性。乳房X线照相术在致密的乳房和年轻女性中发现异常的敏感性较低,而确定囊性和实体性病变的特异性较低,导致不必要的活检。近几十年来,超声成像已被广泛用作识别乳腺病变的最佳方式,并且已被证明是对乳房X线照相术的重要补充。超声可以区分囊性和固体,从而提高诊断的准确性。此过程中的关键步骤是病变分割,因为用于识别可疑病变的许多重要特征都与病变的形状和边界相关。临床医生期望病变区域可以适当地定位于正常组织。为此提出了主动轮廓技术。它可以检测乳房病变的边缘并迭代地分离正常组织。但是,带有斑点噪声的超声图像的特征使其难以进行分割过程。这也导致了医生的解释错误和不准确的诊断。因此,需要散斑噪声减少方法,以使病变的边缘变得更加自信,并在不丢失图像内部信息的情况下进行良好的分割。在这里,斑点噪声的减少是通过双边滤波器完成的。本文结尾处附有和不附有双边滤镜的Active Contour乳腺病变分割的比较。双边过滤器与活动轮廓的结合显示出更好的效果,病变边缘牢固而清晰。

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