Medical image labeling method and device, equipment and storage medium

A medical image and image annotation technology, which is applied in medical image, healthcare informatics, informatics, etc., can solve the problem that the efficiency of medical image annotation is difficult to improve

Pending Publication Date: 2020-11-24
BEIJING ZHENHEALTH TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The annotation of medical image data requires professional doctors to perform. The quality of annotation is limited by the level of professional doctors, and th

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  • Medical image labeling method and device, equipment and storage medium
  • Medical image labeling method and device, equipment and storage medium
  • Medical image labeling method and device, equipment and storage medium

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Embodiment Construction

[0049] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0050] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0051] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...

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Abstract

The invention discloses a medical image labeling method and device, equipment and a storage medium. The method comprises the following steps: selecting a plurality of types of reference images from animage database, carrying out similarity matching on the remaining images in the image database and the selected reference image, classifying the remaining images into the corresponding reference images according to a similarity matching result, constructing to obtain a multi-class reference image set, determining a to-be-labeled image from the reference image set, determining the labeling class of the to-be-labeled image based on the labeling information of the to-be-labeled image, and performing image labeling on the to-be-labeled image according to the labeling class. According to the method, the image content is standardized by adopting the color similarity and the content structure similarity, so that the candidate image selection problem of automatic annotation is solved, the labor time cost of early-stage image cleaning is saved, and the image annotation quality and speed are improved.

Description

technical field [0001] The present disclosure relates to the technical field of computer-aided medical treatment, and in particular to a medical image labeling method and device, equipment and storage medium. Background technique [0002] The accumulation of medical imaging data is the basis for deep learning technology to play a role in medical imaging artificial intelligence scenarios, which not only requires a sufficient amount of medical imaging data, but also requires medical imaging to have high-quality annotation information. In the development of medical artificial intelligence technology, deep learning technology is divided into supervised learning and unsupervised learning, and supervised learning is very dependent on the labeling information of the data. The annotation of medical image data requires professional doctors to perform. The quality of annotation is limited by the level of professional doctors, and the number of annotations is limited by the number of d...

Claims

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Application Information

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IPC IPC(8): G16H30/40G06F17/14G06F16/583G06F16/53
CPCG16H30/40G06F16/5838G06F16/53G06F17/147Y02D10/00
Inventor 代黎明姜泓羊张冬冬
Owner BEIJING ZHENHEALTH TECH CO LTD
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