Medical image lesion area positioning and classification method

A technology of lesion area and medical image, applied in the field of image processing, can solve problems such as affecting the classification accuracy, and achieve the effect of improving the classification accuracy and improving the classification effect.
CN107330883AInactive Publication Date: 2017-11-07NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Publication Date
2017-11-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a medical image lesion area positioning and classification method. The method comprises the following steps: the step 1, acquiring medical images, and dividing the images into a training set and a test set; the step 2, extracting WLD histogram information from the images of the training set, marking characteristic points of the training set according to the histogram information, placing the marked characteristic points into a KNN classifier, training the classifier, testing the trained KNN classifier using the images of the test set, and completing positioning of a medical image lesion area; the step 3, segmenting the images after the positioning through adoption of a histogram threshold method, and reserving the lesion area; and the step 4, putting the segmented images into a CNN depth model to extract characteristics, performing lesion area characteristic classification using an SVM classifier, and outputting a classification result. When the lesion area occupies a small part of the whole image, the accuracy rate is substantially improved.
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Description

technical field

[0001] The invention belongs to the field of image processing, and in particular relates to a method for locating and classifying lesion areas in medical images. Background technique

[0002] In the medical field, most of the diseased areas on the patient's body are presented to the doctor through images, and the doctor judges the patient's condition and makes a diagnosis by analyzing the images. With the rapid development of computer technology, it is more and more closely integrated with medical imaging technology. Computers use intelligent algorithms to assist in the analysis of medical images, helping doctors to quickly analyze patients' conditions, reducing the workload of doctors and greatly improving diagnostic efficiency; With the development of medical care, computer-aided analysis of medical image technology is also integrated into it, helping patients and their family members to know the patient's condition at any time without leaving home. [000...

Claims

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