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Method and apparatus for automatically detecting breast lesions and tumors in images

机译:自动检测图像中的乳房病变和肿瘤的方法和装置

摘要

A method and apparatus for automatically detecting breast tumors and lesions in images, including ultrasound, digital and analog mammograms, and MRI images, is provided. An image of a breast is acquired. The image is filtered and contrast of the image is enhanced. Intensity and texture classifiers are applied to each pixel in the image, the classifiers indicative of the probability of the pixel corresponding to a tumor. A seed point is identified within the image, and a region of interest is grown around the seed point. Directional gradients are calculated for each pixel of the image. Boundary points of the region of interest are identified. The boundary points are passed as inputs to a deformable model. The deformable model processes the boundary points to indicate the presence or absence of a tumor.
机译:提供了一种用于自动检测图像中的乳腺肿瘤和病变的方法和设备,所述图像包括超声,数字和模拟乳房X线照片以及MRI图像。获取乳房的图像。图像被过滤并且图像的对比度增强。强度和纹理分类器应用于图像中的每个像素,这些分类器指示像素对应于肿瘤的概率。在图像中识别出一个种子点,并且在该种子点周围生长了一个感兴趣的区域。为图像的每个像素计算方向梯度。确定感兴趣区域的边界点。边界点作为输入传递给可变形模型。变形模型处理边界点以指示是否存在肿瘤。

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