Method and device for classifying high-dimensional magnetic resonance images
A technology of image classification and classification methods, applied in image analysis, neural learning methods, image enhancement, etc., can solve the problems of low sensitivity of lesions, missed and misdiagnosed, and increased false positives
Active Publication Date: 2022-03-01
GUANGZHOU UNIVERSITY
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[0004] However, the current computer-aided diagnosis of breast cancer has the phenomenon of missed diagnosis and misdiagnosis, especially in the case of fully automatic identification of non-mass lesions with low sensitivity and increased false positive events, and it cannot target the characteristics of medical images of different dimensions Perform analysis and clustering
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[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0051] see figure 1 , figure 1 It is a schematic flowchart of an embodiment of a method for classifying high-dimensional magnetic resonance images provided by the present invention; an embodiment of the present invention provides a method for classifying high-dimensional magnetic resonance images, including steps S1 to S3;
[0052] S1. Acquiring scanned image data of a patient scanned by a magnetic resonance equipment.
[0053] In this example, a Siemens 3.0T Magne...
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The invention discloses a method for classifying high-dimensional magnetic resonance images. By obtaining scanned image data of patients scanned by magnetic resonance equipment, the scanned image data is normalized to obtain high-dimensional image data, and the high-dimensional image data is processed. Decomposition processing, generating several simple geometric elements, inputting several simple geometric elements into the preset image classification model, and outputting the image classification results, adopting the embodiment provided by the present invention, not only can clearly analyze tumor shape, texture and The process of its related image gray value changing with time also provides a strong basis for the effective classification and diagnosis of cancer lesions.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and device for classifying high-dimensional magnetic resonance images. Background technique [0002] Breast cancer is the most common disease in women, especially in patients over the age of 40, showing a high mortality rate. According to the latest statistics from the International Center for Cancer Research, among the 6 million female malignant tumor patients worldwide, breast cancer patients account for 23%, and the mortality rate accounts for 13.7% of all female malignant tumors. China is the country with the highest incidence of breast cancer, with an age-standardized rate of 21.6 cases per 100,000 people, and a death rate of over 70,000 per year; China is also one of the countries with the fastest-growing incidence of breast cancer, which is increasing at a rate of 3% per year . However, the detection rate of early breast cancer is extremely low, ...
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IPC IPC(8): G06V10/764G06K9/62G06N3/08G06T7/00G06T7/11
CPCG06T7/0012G06N3/08G06T7/11G06T2207/10088G06V2201/03G06F18/24
Inventor 尹晓霞张彦春
Owner GUANGZHOU UNIVERSITY