Stomach computer tomography (CT) image lymph node automatic auxiliary detecting system without supervision segmentation

Abstract

The invention discloses a stomach computer tomography (CT) image lymph node automatic auxiliary detecting system without supervision segmentation. The stomach CT lymph node automatic auxiliary detecting system without supervision segmentation mainly aims at solving the problems that an area-of-interest and a suspected lymph node area in an existing stomach CT image automatically acquire undetected areas or excessive irrelevant information is left over. The stomach CT lymph node automatic auxiliary detecting system without supervision segmentation comprises a preprocessing module, an area-of-interest extracting module, a suspected lymph node extracting module and a lymph mode tracking extracting module. The preprocessing module is used for preprocessing to-be-detected images, the area-of-interest extracting module is used for further processing the preprocessed images to acquire areas-of-interest, the suspected lymph node extracting module is used for extracting suspected lymph nodes out from the areas-of-interest, and the lymph node tracking extracting module is used for window feature matching tracking of the suspected lymph nodes, and completing mark extraction of the lymph nodes. The stomach CT lymph node automatic auxiliary detecting system without supervision segmentation is capable of automatically and effectively extracting suspected lymph node areas which draw attentions of doctors and eventually detecting the lymph nodes, and being used for processing medical images.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a medical detection system, which can be used for lymph node detection and auxiliary diagnosis of medical images. Background technique [0002] In recent years, medical imaging technology has developed rapidly, enabling clinicians to observe the internal lesions of the human body more directly and clearly, and the diagnosis rate is also higher. Computer Aided Diagnosis (CAD for short) technology is called the "second pair of eyes" of doctors. It mainly studies how to effectively process these medical image information through image processing technology, assisting doctors in diagnosis and even surgical planning. It has great social benefits and broad application prospects. As the key to computer-aided diagnosis, medical image processing technology continues to develop, and the crossover of various disciplines is an inevitable trend, but there are still many problems to ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the information contained in the stomach CT image is complicated, and the region of interest and the suspected lymph node area in the stomach CT image are automatically acquired. The advanced gastric CT image lymph node automatic auxiliary detection system can avoid the missed detection problem caused by human factors and accurately detect the lymph nodes in the gastric CT image

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