Automatic detection method of tiny calcifications based on ultrasound breast tumor images

Abstract

The invention discloses an automatic detection method for tiny calcification points based on an ultrasonic breast tumor image, which divides the original image of the ultrasonic breast tumor image into a region of interest in the breast tumor; performs weak corrosion and strong corrosion on the segmented region of interest in the breast tumor Distinguish; perform multi-scale superpixel segmentation on the weakly eroded region of interest in ultrasound breast tumors, and fuse the texture segmentation results of each scale to obtain the first suspected calcification point with tight edges; Scale superpixel segmentation, combined with the strong corrosion region of interest of ultrasound breast tumors, based on the gray-scale contrast feature and gray-scale distance feature to screen out the second suspected calcification point closer to the target; get accurate target and tight edge Ultrasound of tiny calcifications in a breast tumor. The invention ensures the accuracy and reliability of the detected tiny calcification points, the method is ingenious, the realization is novel, and the invention has good application prospects.

Description

technical field [0001] The invention relates to the technical field of computer medical aided diagnosis, in particular to an automatic detection method for tiny calcification points based on ultrasound breast tumor images. Background technique [0002] At present, with the aggravation of people's fast-paced life, breast cancer is one of the malignant tumor diseases that women often suffer from, and has become the leading cause of cancer death in women. Due to changes in people's lifestyle and dietary structure, the incidence and mortality of breast cancer are increasing year by year, and the age of onset is earlier. Therefore, early detection, early diagnosis, and early treatment are very important for reducing breast cancer mortality. Ultrasound imaging has become an important means of early detection and diagnosis of breast tumors due to its advantages of no radiation trauma, low cost, real-time portability and other advantages. [0003] In BI-RADS (Breast Imaging Reporti...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the problem that the existing low-contrast ultrasonic mammary gland images are used to detect tiny calcifications, and the algorithm is difficult to implement, so as to assist doctors in diagnosing calcifications and improve the efficiency of doctors' diagnosis; at the same time, it can also Avoid missed diagnosis and misdiagnosis of calcification points caused by visual fatigue caused by a large number of film readings, and improve the accuracy of doctors' diagnosis

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