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Effect of despeckle filtering on classification of breast tumors using ultrasound images

机译:去除过滤对使用超声图像进行乳腺肿瘤分类的影响

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摘要

Ultrasound is the most widely used imaging modality for screening of breast tumors. However, due to the presence of speckle noise in an ultrasound image, the diagnostic information gets masked and the interpretation of the breast abnormalities becomes difficult for the radiologist. The texture of the tumor region and the shape/margin characteristics are considered to be important parameters for the analysis of the breast tumors. In the present work, exhaustive experimentation has been carried out for the design of CAD systems for classification of breast tumors by considering (a) original images only, (b) despeckled images only and (c) both original and despeckled images together (hybrid approach).
机译:超声波是用于筛选乳腺肿瘤的最广泛使用的成像模态。 然而,由于超声图像中存在斑点噪声,屏蔽信息被掩蔽,并且放射科学家难以解释。 肿瘤区的质地和形状/边缘特性被认为是用于分析乳腺肿瘤的重要参数。 在目前的工作中,通过考虑(a)原始图像,(b)仅考虑(a)原始图像和(c)在一起(混合方法 )。

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