Gynecological tumor diagnosis system based on Internet of Things

Abstract

The present invention belongs to the technical field of Internet of Things and discloses a gynecological tumor diagnosis system based on Internet of Things. The gynecological tumor diagnosis system comprises a detection room and a control room, a detection bed is arranged in the detection room, a three-axis motion platform is arranged above the detection bed, and a nuclear magnetic resonance imaging device and a camera device are arranged on the three-axis motion platform; the three-axis motion platform, the nuclear magnetic resonance imaging device and the camera device are electrically connected with a data acquisition device; and a control terminal is arranged in the detection room, the data acquisition device is in communication connection with a server and the control terminal respectively and the control terminal is in communication connection with the server. According to the gynecological tumor diagnosis system based on the Internet of Things, a patient enters the detection room autonomously, medical staff can control the nuclear magnetic resonance imaging device to act on a to-be-detected part of the human body in the control room, local independent detection is carried out, and the diagnosis accuracy is guaranteed.

Description

Technical field[0001]The present invention belongs to the field of Internet of Things, and in particular to an Internet of Things-based gynecological tumor diagnostic system.Background technique[0002]Tumors are organisms under various carcinogenic factors, and some cells of local tissue lose normal regulation of growth in gene levels, resulting in new organisms formed by their cloning abnormal hyperplasia. Tumors are seriously threatening human diseases, and mortality in tumor disease is located in the first place in various diseases. The gynecological tumor disease is smaller, and the gynecologist is in conducting tumor diagnosis analysis, the detection device commonly used is a systemic nuclear magnetic resonance imaging diagnosis. This detection device cannot be targeted to diagnose imaging, affecting the late disease judgment, largeline Increased the accident of the condition, long, but not only increase the new inaccuracies of the disease, but directly affect the timely treatme...

AI Technical Summary

Problems solved by technology

The distribution range of gynecological tumors is relatively small, and when gynecological patients are diagnosed and analyzed tumors, the detection device usually used is whole-body MRI diagnosis. Increased the contingency of disease judgment, if things go on like this, not only the inaccuracy of new disease diagnosis will increase, directly affect the timely treatment of the patient's condition, even threaten the life safety of the patient, but also increase the work difficulty of the medical staff

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