用于乳腺肿瘤分级诊断超声图像增强的算法

为提高乳腺肿瘤分级诊断的能力,提出一种基于超声信号用于乳腺肿瘤分级诊断的图像增强算法。通过分析良性和不同恶性程度肿瘤的超声图像的特征差异,提出了一种将灰度的动态变换方法和利用局部标准差及熵特征相结合的办法,对图像对比度进行增强处理,增强了乳腺超声图像的细节,提高了图像质量。该算法可对良性、恶性肿瘤等不同超声图像进行增强处理,使得图像之间差异更加明显,为临床医生分级诊断提供更加清晰的图像,具有一定的实际应用价值。

Ultrasonic image enhancement algorithm for grading diagnosis of breast tumor

To present an image enhancement algorithm based on ultrasonic signal for classification diagnosis of breast tumor,for improving the ability of breast tumor grading diagnosis.By analyzing the ultrasound images characteristics of benign and malignant tumors with different degrees of malignancy,We presented a method that combined the dynamic transformation of gray scale with local standard deviation and entropy characteristics.It could enhance the contrast of the image and improve image quality.This method can enhance the image of benign and malignant tumors.It makes the more obvious differences between images and provides a clearer image for clinician grading diagnosis.It has certain practical application value.