Longitudinal partition ultrasonic endoscope image real-time auxiliary diagnosis system and method based on deep learning

Abstract

The invention discloses a longitudinal partition ultrasonic endoscope image real-time auxiliary diagnosis system and method based on deep learning. The system comprises an image acquisition module, acommunication module and a focus recognition module. The image acquisition module is used for acquiring a picture and a video which are obtained by performing longitudinal partition inspection by using ultrasonic endoscope equipment and decoding the video into a picture; the focus recognition module is used for receiving the picture of the image acquisition module, judging features corresponding to the image in time and obtaining a disease recognition and classification result; and the image acquisition module and the focus recognition module are connected and communicated through the communication module. According to the invention, an image acquisition module is firstly used for acquiring longitudinal ultrasonic endoscope pictures and videos; taking the mediastinal ultrasound endoscopy picture as a parameter, and calling a convolutional neural network model to identify and classify the disease; and finally, receiving a classification result of the convolutional neural network model,and assisting doctors in disease diagnosis. According to the method, the detection accuracy and effectiveness are improved, the misdiagnosis missed diagnosis occurrence probability is reduced, and thelabor cost is saved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and relates to a real-time auxiliary diagnosis system and method, in particular to a real-time auxiliary diagnosis system and method for mediastinal ultrasound endoscopic images based on deep learning. Background technique [0002] Endoscopic ultrasonography (EUS) is a digestive tract examination technology that combines endoscopy and ultrasound. Observation of organ and tissue structure improves the diagnostic level of endoscopy and ultrasound. Compared with CT, MRI, and PET-CT imaging diagnostic methods, endoscopic ultrasonography has certain advantages in the diagnosis of mediastinal diseases. Doctors judge the imaging characteristics of endoscopic ultrasonography, such as lesion length, echo characteristics, boundaries, vascular infiltration, and surrounding tissues. Mediastinal tuberculosis, mediastinal sarcoidosis, mediastinal and hilar lymphadenopathy, etc. [0003] In the diag...

AI Technical Summary

Problems solved by technology

Doctors with less qualifications may have difficulty identifying mediastinal lesions in endoscopic ultrasound images due to their limited experience, resulting in missed diagnosis and misdiagnosis

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