Auxiliary diagnosis system based on Mask R-CNN network and auxiliary diagnosis information generation method

Abstract

The invention discloses an auxiliary diagnosis system based on a Mask R-CNN network and an auxiliary diagnosis information generation method, and belongs to the technical field of medical image processing and segmentation, and the system comprises: a data uploading end which is used for uploading a CT image of a patient and corresponding medical auxiliary information, and the CT image carries the cerebral hemorrhage information of the patient; the image processor that is connected with the data uploading end and is used for enhancing and graying the CT image to obtain a grayscale image; the target detection module that is connected with the image processor, and is used for detecting a grayscale image by using a trained Mask R-CNN network model so as to identify and extract lesion feature information; and the diagnosis analysis module that is connected with the target detection module, and is used for matching the focus characteristic information with the structured medical record in the medical record database, and synthesizing medical auxiliary information to generate auxiliary diagnosis information. According to the invention, the trained Mask R-CNN network model is utilized to scan the brain CT image to generate the auxiliary diagnosis information, so that the efficiency of cerebral hemorrhage screening in emergency treatment is improved.

Description

technical field [0001] The invention belongs to the technical field of medical image processing and segmentation, and more specifically relates to an auxiliary diagnosis system based on a Mask R-CNN network and a method for generating auxiliary diagnosis information. Background technique [0002] Cerebral hemorrhage (cerebral hemorrhage) refers to the hemorrhage caused by the rupture of blood vessels in the non-traumatic brain parenchyma, accounting for 20% to 30% of all strokes, and the fatality rate in the acute phase is 30% to 40%, of which about 80% occur at the bleeding site As with the cerebral hemispheres, approximately 20% of hemorrhages occur in the brainstem and cerebellum. As the type of disease with the highest fatality rate among acute cerebrovascular diseases, the causes are mainly related to cerebrovascular lesions, that is, hyperlipidemia, diabetes, hypertension, aging of blood vessels, smoking, etc. are closely related. [0003] At present, the preferred im...

AI Technical Summary

Problems solved by technology

However, since cerebral hemorrhage is an acute disease, it is easy to miss or misdiagnose due to the tiredness of the doctor when the onset is sent to the hospital; or the lack of experience of young doctors is also prone to the above problems, and the efficiency of use in the real emergency environment is limited.

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