Hardware architecture of medical endoscope artificial intelligence system and image processing method

Abstract

The invention provides a hardware architecture of a medical endoscope artificial intelligence system and an image processing method. A data processing module is arranged to screen out images with theconfidence exceeding a predetermined threshold value and transmit the images to a remote server, and therefore the communication load is reduced; and the data size needing to be remotely transmitted by an endoscope containing the data processing module is correspondingly decreased, and then the communication load of the endoscope is reduced. The data processing module is arranged to mark predetermined feature areas to display specific image information to related staff, the image recognition workload is reduced, and the working efficiency is improved; and the endoscope containing the data processing module also can display the images with the specific image information to the related staff, and the working efficiency and the detection real-time performance are improved. The data processingmodule is arranged to screen out the images with the confidence exceeding the predetermined threshold value, only the part of images with the confidence exceeding the predetermined threshold value need to be stored later, and therefore the needed storage space can be effectively decreased.

Description

technical field [0001] The invention relates to image processing and medical fields, in particular to a hardware architecture of a medical endoscope artificial intelligence system and an image processing method of the architecture. Background technique [0002] Endoscope is a detection instrument that integrates traditional optics, ergonomics, mathematics, precision machinery, microelectronics and software. Endoscope has image sensor, optical lens, light source lighting, etc. It can enter the human body through the natural channel of the human body or a small incision made by surgery, collect images, and transmit the collected images to the medical staff that can see them. On the display terminal, for example, an endoscope enters the stomach through the oral cavity. The use of endoscopes can enable medical staff to see lesions that cannot be displayed by X-rays, which is very useful for doctor diagnosis and patient treatment. [0003] At present, endoscopes use light sourc...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a hardware architecture and an image processing method of a medical endoscope artificial intelligence system, which overcomes the heavy communication load in the image processing process in the prior art, the inability to provide specific image information, and the inability to Achieve real-time object detection and defects of storage space waste

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