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Method and device for classifying medical images

A medical image and classifier technology, applied in the computer field, can solve the problems of low accuracy of automatic classification of medical images, achieve the effect of improving classification accuracy, avoiding time-consuming and labor-intensive, and weakening dependence

Inactive Publication Date: 2018-09-28
深圳北航新兴产业技术研究院
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  • Abstract
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Problems solved by technology

[0006] In view of this, the embodiments of the present invention provide a method, device and device for medical image classification, which can solve the problem of low accuracy of automatic classification of medical images

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  • Method and device for classifying medical images
  • Method and device for classifying medical images
  • Method and device for classifying medical images

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Embodiment Construction

[0028] The following describes exemplary embodiments of the present invention with reference to the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and should be regarded as merely exemplary. Therefore, those of ordinary skill in the art should realize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Likewise, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0029] The technical solution of the embodiment of the present invention first inputs a set of medical images and instantiates them; then automatically learns and extracts the features of the input instances through a convolutional neural network; according to the features, the input is processed by a classifier The instances are classified to obtain the input instance...

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Abstract

The invention provides a method and device for classifying medical images so that a problem of low automatic classification accuracy of medical images can be solved. The method comprises: medical image instantiation is carried out to obtain an input instance; with a convolutional neural network, automatic learning is carried out and characteristics of the input instance are extracted; on the basisof the characteristics, the input instance is classified by a classifier to obtain an input instance classification result; and on the basis of the input instance classification result; and the medical image is classified by a flexible maximum transfer function to obtain a final classification result.

Description

Technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for classifying medical images. Background technique [0002] With the rapid development of medical imaging technology, various medical images have exploded and become an indispensable tool for medical clinical diagnosis and teaching research. At the same time, the diagnosis and recognition of medical images has become a research hotspot in the medical field. How to accurately and efficiently determine the category of medical images has also become a key point in many studies. [0003] The existing medical image classification algorithms are mainly divided into two parts: feature learning and classifier design. The current feature learning process mainly relies on doctors based on the complex clinical features of medical images, through human observation to summarize the more significant features, and express them in mathematical language; then design cor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/2155G06F18/24323
Inventor 许燕李楠楠
Owner 深圳北航新兴产业技术研究院
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