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Automated method and system for computerized detection of masses and parenchymal distortions in medical images

机译:用于计算机自动检测医学图像中的肿块和实质变形的自动化方法和系统

摘要

A method and system for the automated detection of lesions such as masses and/or tissue (parenchymal) distortions in medical images such as mammograms. Dense regions and subcutaneous fat regions within a mammogram are segmented. A background correction may be performed within the dense regions. Hough spectrum within ROIs placed in the breast region of a mammogram are calculated and thresholded using the intensity value &eegr; in order to increase sensitivity and reduce the number of false- positive detections. Lesions are detected based on the thresholded Hough spectra. The thresholded Hough spectra are also used to differentiate between benign and malignant masses.
机译:一种用于自动检测诸如乳房X线照片的医学图像中的诸如肿块和/或组织(实质)变形的损伤的方法和系统。乳房X线照片中的密集区域和皮下脂肪区域被分割。可以在密集区域内执行背景校正。使用强度值&eegr来计算放置在乳房X线照片的乳房区域中的ROI内的霍夫谱,并对其进行阈值处理。为了提高灵敏度并减少误报检测的次数。根据阈值霍夫光谱检测病变。阈值霍夫光谱还用于区分良性和恶性肿块。

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