Mammary gland disease AI auxiliary diagnosis method based on molybdenum target X-ray photography examination

Abstract

The invention discloses a mammary gland disease AI auxiliary diagnosis method based on molybdenum target X-ray photography examination. The mammary gland disease AI auxiliary diagnosis method comprises the following steps: S1, labeling, training and verifying an AI auxiliary diagnosis model; S2, acquiring a mammary gland molybdenum target X-ray photography examination image; S3, preprocessing themammary gland molybdenum target X-ray photography examination image; S4, performing auxiliary diagnosis: inputting the picture sequence IMGS into an AI auxiliary diagnosis model to complete diagnosis,if a suspected focus is detected, outputting prediction data, and otherwise, determining that the prediction data is empty; S5, outputting diagnosis. By adopting the mammary gland disease AI auxiliary diagnosis method based on molybdenum target X-ray photography examination, whether a suspected mammary gland lesion area exists in a molybdenum target X-ray photography examination image or not canbe identified; meanwhile, the positions, sizes and types of lesions are accurately identified and displayed, and the suspected lesions are scored, so that doctors are assisted in screening mammary gland lesions, the diagnosis efficiency and accuracy are improved, and the problem of unbalanced distribution of medical resources in China is solved.

Description

technical field [0001] The present invention relates to a breast lesion detection technology, in particular to an AI-assisted diagnosis method and system for breast diseases based on mammography. Background technique [0002] Breast diseases refer to diseases originating from mammary glands, fat, lymph, blood vessels, nipples and other breast-related tissues. Breast diseases include inflammatory diseases of the breast, benign breast lesions, malignant breast tumors, congenital abnormalities, and gynecomastia. With the gradual increase of life pressure, breast diseases occur frequently and early. Timely detection and treatment will help patients recover. [0003] The detection of the current disease may use X-ray examination. The specific method is mammography examination and dry plate photography, and then the imaging department conducts screening at once. However, the efficiency of breast lesion screening cannot meet the actual medical needs. Contents of the invention ...

AI Technical Summary

Problems solved by technology

[0003] The detection of the current disease may use X-ray examination. The specific method is mammography examination and dry plate photography, and then the imaging department conducts screening at once. , the efficiency of breast lesion screening cannot meet the actual medical needs

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