Multi-model fusion muscle-bone ultrasonic diagnosis system based on deep learning

Abstract

The invention discloses a multi-model fusion muscle-bone ultrasonic diagnosis system based on deep learning, and relates to the technical field of medical treatment. A diagnosis management platform comprises a model library, a diagnosis system and a display system; the display system comprises a frame selection rectangular module and a focus information display module; the model library comprises a data acquisition module and a model establishment module; and the diagnosis system comprises a diagnosis and treatment module, a quantitative comparison module and an image processing module. According to the multi-model fusion muscle-bone ultrasonic diagnosis system, medical image information of a muscle-bone focus to be diagnosed is acquired through the diagnosis and treatment module and is sent to the model library, and the model library is in communication connection with the diagnosis system; an output value of the focus risk of the medical image of the to-be-diagnosed muscle-bone focus is determined according to the output value obtained by the deep convolutional neural network model, artificial intelligence helps a doctor to accurately prompt the position and property of the focus of the ultrasonic image, diagnosis is assisted, the conclusion is objective, the working efficiency of a doctor is improved, and meanwhile the man-made subjective diagnosis error risk of the doctor is reduced.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a multi-model fusion musculoskeletal ultrasound diagnosis system based on deep learning. Background technique [0002] Ultrasound technology has been widely used and promoted in clinical practice due to its advantages such as real-time dynamic imaging, non-invasiveness, portability, "visual" interventional operation guidance, simple operation, strong repeatability, short examination time and quick results. . Musculoskeletal ultrasound is an emerging ultrasound examination technology in recent years. It uses high-frequency ultrasound to diagnose diseases of the musculoskeletal system. Structural abnormalities caused by injury or deformity. Combined with relevant medical history and clinical symptoms, most cases can be accurately diagnosed by ultrasound. The ability of high-frequency ultrasound to display soft tissue lesions is comparable to that of MRI. It can finely distingu...

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Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a multi-model fusion musculoskeletal ultrasound diagnosis system based on deep learning, which solves the problem that the results of the existing doctors are often affected by personal experience, image quality, Due to the influence of anatomical variation, combined with the uneven experience and diagnostic level of operating physicians, there are common problems such as not finding lesions, finding lesions but making wrong diagnoses, etc.

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