Galactophore cancer computer auxiliary diagnosis system based on galactophore X-ray radiography

Abstract

The invention discloses a breast cancer computer auxiliary diagnosis method and system based on galactophore X-ray radiograph. A galactophore X-ray radiograph for diagnosis is input into the system of the invention firstly, and is treated through an extracting module in a region of interest, a partitioning module and a feature extracting module in a region of doubtful lump, hereby a series of relative feature values about the doubtful lump region; then the feature values are input into a trained classifier which classifies and identifies the doubtful lump region and lastly the computer automatic examined final result of portioning the doubtful lump region is located on the input galactophore X-ray radiograph for diagnosis and the calculated relative feature values of the region are displayed to a roentgenologist according to requirements to indicate the roentgenologist about the region needing special attention and relative important parameters of the region. The invention can improve the accurateness and efficiency of the breast cancer diagnosis by the roentgenologist to some extent and help the roentgenologist to bring forward a diagnostic opinion and a therapeutic schedule more objectively and effectively.

Description

technical field [0001] The invention belongs to the application field of computer analysis technology of medical images, and in particular relates to a breast cancer computer-aided diagnosis system based on mammography. Background technique [0002] Breast cancer is one of the most common malignant tumors in middle-aged and elderly women. It has ranked first in female malignant tumors in China and has an increasing trend year by year. At present, there is no effective way to prevent breast cancer. Early diagnosis is the most effective way to reduce morbidity and mortality and improve the cure rate of breast cancer. Studies have shown that mammography (mammography x-ray technology) is an effective method for the detection of early clinical asymptomatic breast cancer, and has been approved by the US Food and Drug Administration (Food and Drug Administrator, FDA) as a routine Breast disease screening methods. [0003] Due to the limitations of imaging principles, high-density...

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Problems solved by technology

At present, the computer-aided diagnosis method and its system have the characteristics of high sensitivity and low false positive rate in the detection of suspicious areas of small calcifications, and have been accepted and adopted by radiologists (see R.F.Brem, J.W.Hoffmeister, G.Zisman, et al. al. "Acomputer-aided detection system for evaluation of breast cancer by mammographic appearance and lesion size," AJR, Am.J.Roentgenol184: 893-896 (2005)), but the detection effect in the auxiliary diagnosis of breast lumps is very low, not Trusted by Radiologists

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