Medical image classification method, image classification network processing method, device and equipment

A medical image and classification network technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems affecting the accuracy and inaccuracy of medical image classification, medical image segmentation failure, etc., to improve performance and reduce calculation The effect of volume and speed

Active Publication Date: 2021-04-23
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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Problems solved by technology

However, when the target object in the medical image is small, it may cause the problem of medical image segmentation failure or inaccuracy, thus affecting the accuracy of medical image classification

Method used

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  • Medical image classification method, image classification network processing method, device and equipment
  • Medical image classification method, image classification network processing method, device and equipment
  • Medical image classification method, image classification network processing method, device and equipment

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Embodiment Construction

[0099] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0100] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein.

[0101] Artificial Intelligence (AI) is a theory, method, technology and application syste...

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Abstract

The invention relates to an artificial intelligence technology, in particular to a medical image classification method and device, computer equipment and a storage medium. The method comprises the following steps: slicing a medical image to obtain an image slice sequence; extracting image features of a target object in the image slices from the image slices in the image slice sequence; sequentially determining the continuous probability of the target object in each image slice according to the image features extracted from each image slice; determining the connectivity of the target object in the image slice sequence based on the cumulative sum of the difference values between the continuous probabilities corresponding to the adjacent image slices in the image slice sequence and the total slice amount of the image slices in the image slice sequence; and judging the classification category to which the medical image belongs according to the connectivity rate. By adopting the method, the influence on the accuracy of medical image classification due to a small target object can be avoided.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a medical image classification method, image classification network processing method, device and equipment. Background technique [0002] Medical images refer to internal tissue images of the human body or a part of the human body obtained in a non-invasive manner for medical treatment or medical research. Classifying medical images to obtain the medical image classification can provide effective medical assistance for medical workers. [0003] In the traditional medical image classification scheme, the convolutional neural network is usually used to segment the target in the medical image, and then the medical image is classified according to the segmented target. However, when the target object in the medical image is small, it may cause the problem of medical image segmentation failure or inaccuracy, thus affecting the accuracy of medical image clas...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 边成
Owner TENCENT TECH (SHENZHEN) CO LTD
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