Intelligent lung cancer detection method and system based on image and machine smell fusion

Abstract

The invention discloses an intelligent lung cancer detection method and system based on image and machine smell fusion. The method comprises five steps of selecting a training object, acquiring a CT image, acquiring respiratory data, performing data fusion processing and outputting a detection result. According to the method, tumor imaging omics and machine olfaction metabonomics are fused; basedon lung cancer typing and staging result related data given to a pathological result by a professional doctor in the earlier stage, the lung cancer intelligent diagnosis model is constructed accordingto the exhaled air data of the patient, and the optimized model is obtained by verifying and testing the model; the lung cancer detection result can be obtained by inputting the CT image data and thebreathing data of the patient to be detected into the optimized model in the later period, the detection process is faster and more convenient, and the cost is lower.

Description

technical field [0001] The invention relates to the technical field of image processing and respiratory gas analysis, and more specifically relates to an intelligent detection method and system for lung cancer based on fusion of image and machine sense of smell. Background technique [0002] At present, with the increasing number of smokers and the continuous impact of environmental deterioration, the incidence of lung cancer is increasing year by year. Early diagnosis and treatment are the key to improving the survival rate of lung cancer patients. The current standard early diagnosis method of lung cancer is through low-dose spiral CT ( LD-CT) scans to assess the presence of "ambiguous lung nodules," and then follow up these nodules to assess whether they develop into lung cancer. However, this method cannot determine whether "ambiguous pulmonary nodules" are benign or malignant. Since follow-up follow-up is required to obtain further test results, it takes a long time, ha...

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Problems solved by technology

[0004] In view of this, the present invention provides an intelligent detection method and system for lung cancer based on the fusion of image and machine sense of smell. The method fuses the patient's CT image data and respiratory data to obtain accurate and reliable lung cancer detection results, solving the problem of Existing lung cancer detection methods are time-consuming, low detection efficiency and high detection cost

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