Medical image diagnosing system and diagnosing method based on migrated nuclear matching tracing

Abstract

The invention discloses a medical image diagnosing system and a diagnosing method based on migrated nuclear matching tracing. The whole system comprises an image preprocessing module, an image feature extracting module, an image migrated nuclear matching tracing diagnosing module and an image unidentified sample testing module. The image preprocessing module completes the redundancy removal of original images and the equalization strengthening processing of histograms. The processed images are extracted to obtain gray level cooccurrencematrixes, Hu matrixes, and Brushlet and Contourlet features as a sample set, thus a source field, a target filed identified training sample set and a target filed unidentified training sample set are obtained. The migrated nuclear matching tracing learning is carried out on the source field and the target filed identified training sample set, thus a refreshed target field training sample set and a training classifier are obtained. The training classifier is used for classifying and diagnosing the unidentified testing samples and outputting final diagnosing results. The invention can relieve the defect that the quantity of medical reference samples is few, effectively enhance the medical image diagnosing identification rate and can be used for assisting the clinical diagnosing of medical images.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to medical image processing, which can be used for clinical auxiliary diagnosis of medical images. Background technique [0002] With the rapid development of computer and related technologies and the maturity of graphics and image technology, medical imaging diagnosis is a key research direction in the medical field at home and abroad. Medical workers can observe medical images from multiple directions, levels, and angles. , so as to assist doctors to comprehensively analyze the lesion area, significantly promote the improvement of the accuracy and correctness of clinical medical diagnosis, and the era of digital medical treatment has begun to appear. In the past three decades, medical imaging technology has developed rapidly, and many achievements have been made in clinical medical diagnosis. Medical images play an active role in clinical diagnosis, teaching and scientif...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, aiming at the problems of a small number of medical image reference samples and a low diagnostic recognition rate, a medical image diagnostic system and diagnostic method based on migration kernel matching and tracking are proposed to improve medical imaging. Imaging diagnostic recognition rate, alleviating the shortcomings of the small number of medical reference samples and enhancing generalization ability

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