Lung cancer full-cycle intelligent management imaging data platform

Abstract

The invention discloses a full-cycle intelligent management image data platform for lung cancer, which belongs to the field of CT data query and management. The present invention includes: a pulmonary nodule automatic segmentation module, used for detecting CT images, and segmenting the pulmonary nodule in the detection task, and outputting the result of predicting the lesion area of ​​the pulmonary nodule; a statistics module, used for displaying the pulmonary nodule Statistical information of nodule data; data retrieval module, used to retrieve by patient id, enter the CT image annotation interface of the corresponding patient; nodule retrieval module, used to retrieve through nodule information, enter the CT image annotation of the corresponding nodule The interface; the new coronary pneumonia topic module, used to view the CT images related to the new coronary pneumonia; the database, used to save the CT images, the data labels corresponding to the CT images, and the results of the prediction of the pulmonary nodule lesion area. The invention can perform convenient and effective queue management and retrieval on CT data, and can intuitively display the intelligently identified pulmonary nodule information.

Description

technical field [0001] The invention relates to the field of CT data query and management, in particular to a full-cycle intelligent management image data platform for lung cancer. Background technique [0002] Lung cancer is one of the malignant tumors with the fastest-growing morbidity and mortality and the greatest threat to the health and life of the population. Early imaging of lung cancer manifests as pulmonary nodules, and its inspection method mainly relies on chest CT tomography, and each inspection will have as many as hundreds of tomographic images. According to statistics, there are hundreds of millions of patients with pulmonary nodules in my country, and for each case of CT images, the accuracy of manual reading is about 50%-70%, which largely depends on the professionalism of doctors; It usually takes about a week to issue a report after reading the film, which takes a long time. [0003] In recent years, the data platform based on artificial intelligence has...

AI Technical Summary

Problems solved by technology

However, these systems lack the queue function, and it is necessary to form a queue to analyze a type of nodule information uniformly; at the same time, these systems are also lacking in the display of statistical information

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