Skin pathological image feature recognition method based on multi-example multi-label study

A technology of image features and recognition methods, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of no skin pathological image feature recognition methods, and achieve the effect of improving effectiveness, efficiency and accuracy
CN103324940AInactive Publication Date: 2013-09-25GUANGDONG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG UNIV OF TECH
Publication Date
2013-09-25
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a skin pathological image feature recognition method based on multi-example multi-label study. According to the skin pathological image feature recognition method, an image is divided into a plurality of parts which are not overlapped in vision, feature extraction based on two-dimension wavelet transform is conducted on every part, and therefore a pathology image is expressed as a multi-example sample. Due to the facts that pathology image data already clear and definite in disease diagnosis by analysis are adopted, experience and specialized knowledge of doctors and researchers are abstractly extracted, and a machine learning model is used for expression, the model has the capacity of conducting sin pathology image feature recognition and taking the place of the doctors and the researchers, and diagnostic efficiency and accuracy are improved. The skin pathological image feature recognition method based on the multi-example multi-label study is skillful in design, good in performance, convenient to use and practical.
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Description

technical field

[0001] The invention is a feature recognition method of skin pathology pictures based on multi-instance and multi-label learning, which belongs to the transformation technology of the feature recognition method of skin pathology pictures based on multi-example and multi-label learning. Background technique

[0002] In the process of diagnosing skin diseases, doctors need to carefully observe the changes on the skin surface of the patient's affected area. If it is recorded and saved as an image with photography technology, it will be a skin picture. For many skin diseases, it is impossible to make a correct diagnosis just by observing the patient's skin or skin pictures. Pathological pictures of skin tissue. Doctors can make a more accurate diagnosis through the analysis of skin pathology pictures.

[0003] Since the pathological pictures reflect the histological features of the skin structure from the epidermis to the subcutaneous tissue, only doctors and l...

Claims

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