Processing system and information processing method for distinguishing pulmonary tuberculosis and tumor information

Abstract

The invention belongs to the technical field of medical diagnosis, and discloses a processing system and an information processing method for distinguishing pulmonary tuberculosis and tumor information. The processing system for distinguishing pulmonary tuberculosis and tumor information comprises a patient information acquisition module, a lung image acquisition module, a central control module,a lung image enhancement module, an image segmentation module, an image feature extraction module, an image retrieval module, a comparison module, a disease analysis module, a treatment scheme writingmodule, a diagnosis report generation module and a display module. Interference factors such as a human body trunk and a bed board are automatically removed through the image segmentation module, sothat a pulmonary parenchyma image can be rapidly and accurately extracted to better assist a doctor; meanwhile, through the image retrieval module, the efficiency of searching for the similar lung images by the doctor user is greatly improved, corresponding retrieval feature vectors are obtained according to different focus types contained in the to-be-retrieved images, similar sample lung imagesare retrieved based on the retrieval feature vectors, and therefore the lung image retrieval accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of medical diagnosis, and in particular relates to a processing system and an information processing method for distinguishing tuberculosis and tumor information. Background technique [0002] Lung tumors refer to tumors that occur in the lung parenchyma and lung interstitium. According to its source, it can be divided into primary and secondary (metastatic); according to its biological characteristics, it can be divided into benign or malignant; according to its tissue form, it can be classified into epithelial tumor, soft tissue tumor and mesothelioma. Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis, which can invade many organs, with pulmonary tuberculosis infection being the most common. The excretor is an important source of infection. After the human body is infected with Mycobacterium tuberculosis, the disease may not necessarily occur. When the resistance is reduce...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the segmentation speed of the existing lung images is slow and the segmentation accuracy is poor; at the same time, the lung images of cases with similar lesions are manually searched and obtained from a large number of historical lung images. The most similar lung image operation has low efficiency and low accuracy

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