Doctor pulmonary nodule auxiliary diagnosis system

Abstract

The invention belongs to the technical field of medical diagnosis, and discloses a doctor pulmonary nodule auxiliary diagnosis system, which is provided with a main body device, a pulmonary nodule auxiliary diagnosis prompting device, an input device for inputting basic information, treatment information and a pulmonary nodule image of a patient, and a display device; the pulmonary nodule auxiliary diagnosis prompting device is arranged in the main body device and comprises an information image memory for storing basic information and doctor seeing information of a patient input through the input device and a pulmonary nodule image of the patient; an image processing module, a pulmonary nodule recognition module and a communication module are arranged in the main body device; and the image processing module comprises an image preprocessing module and an image deep processing and recognizing module. The image processing module, a pulmonary nodule recognition module and a communication module are arranged in the main body device, and the communication module is connected with a cloud server, so that big data processing, judgment and analysis can be realized, and the diagnosis accuracy and efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of medical diagnosis, in particular to an auxiliary diagnosis system for pulmonary nodules for doctors. Background technique [0002] Currently, lung cancer has become one of the most common cancers in the world today. About 1.2 million people are diagnosed with lung cancer each year, and about 1.1 million people die from lung cancer. If lung cancer patients are diagnosed at an early stage, the five-year survival rate can reach more than 70%. However, when lung cancer is diagnosed, most of them are in the middle and late stage, and the opportunity for surgery has been lost. If diagnosed early, the five-year survival rate can exceed 70%. If lung cancer can be diagnosed early and corresponding measures are taken, it will be of great significance to improve the survival time and quality of life of patients. At present, pathological diagnosis is the gold standard for the diagnosis of lung cancer, but the diag...

AI Technical Summary

Problems solved by technology

However, the existing diagnosis of pulmonary nodules mainly relies on the experience of radiologists, and there is no system that can effectively assist radiologists in the diagnosis of pulmonary nodules, which reduces the accuracy and efficiency of diagnosis

[0003]Through the above analysis, the problems and defects of the existing technology are: the existing diagnosis of pulmonary nodules mainly relies on the experience of radiologists, and has not been able to effectively assist The system used by radiologists to diagnose pulmonary nodules reduces the accuracy and efficiency of diagnosis

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