Mammary gland image recognition method and device

Abstract

The invention belongs to the technical field of medical treatment, and particularly relates to a mammary gland image recognition method which comprises the following steps: acquiring a to-be-detectedmammary gland image, and detecting mammary glands by using a detection device, the detection method comprising mammary gland molybdenum target X-ray photography, B-ultrasonic, CT, MRI and nuclide imaging; and acquiring a lump image according to mammary gland development, inputting the lump image into a processing center, carrying out data analysis on a mammary gland lump, obtaining a typing resultto which the mammary gland lump belongs according to the lump in the image, and meanwhile, judging the mammary gland position corresponding to the mammary gland lump according to the mammary gland lump. A mammary gland image recognition device comprises a microprocessor, an image acquisition module, an analysis module, a display module and a communication module, and the microprocessor is in electrical input connection with a power module and the image acquisition module. The accuracy of mammary gland diagnosis is improved, the diagnosis efficiency is improved, and meanwhile the comprehensiveeffect of remote transmission of data is achieved.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and device for breast image recognition. Background technique [0002] Breast cancer is a malignant tumor with a high incidence in women. Public data show that breast cancer accounts for 23% of all cancer cases and 14% of cancer-related deaths in women worldwide. Early screening can effectively reduce the incidence and mortality of breast cancer. Mammography is a relatively advanced examination method with good definition and high contrast, and can reliably identify benign lesions and malignant tumors of the breast. Lumps are a major manifestation of breast disease on mammograms. Due to the non-rigidity of breast tissue and the transformation of different viewing angles, the variability of shape, size, edge, and texture of lesions, the visual interference of normal tissue, and the large amount of film reading by doctors, it is easy to cause misdiagnosis and missed dia...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, the efficiency of breast image recognition and diagnosis is low, and the diagnosis results are too subjective, which is prone to misdiagnosis, and secondly, it is convenient to realize remote data transmission. Therefore, it is urgent to develop a method and device for breast image recognition

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