Body part identification method and device in medical images

A medical image and body part technology, applied in the field of medical image recognition, can solve problems such as heavy workload, influence of medical workers' diagnostic work, inaccurate body part recognition results, etc., to save time and cost, improve accuracy, improve The effect of training efficiency

Pending Publication Date: 2020-12-04
COHESION INFORMATION TECH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the workload of manually extracting body parts is huge, which wastes precious time and resources of medical workers
On the other hand, although some methods of training machine learning models to intelligently identify body parts in medical images have appeared in recent years, due

Method used

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[0056]The above objects, features, and advantages of the present invention will be more clearly understood, and the invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the features of the present application and the features of the present application can be combined with each other in the case of an unable conflict.

[0057] Many specific details are set forth in the following description to fully understand the invention, and the described embodiments are merely the embodiments of the invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art are in the range of the present invention without making creative labor premise.

[0058] All technical and scientific terms used herein are commonly understood by those skilled in the art of the present invention, unless otherwise defined. The terminology used

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Abstract

The invention provides a method for identifying a body part in a medical image, and the method comprises the steps: obtaining a group of medical images which comprise a plurality of section radiography images containing the body part of a living body; inputting the medical images into a preset machine learning model to obtain a numerical value corresponding to the body part to which each medical image belongs; detecting whether a numerical value corresponding to the body part to which the medical image belongs is abnormal or not, and correcting the numerical value when the numerical value is abnormal; determining a body part name corresponding to the corrected numerical value; and labeling the determined body part name in the medical image and outputting the labeled medical image. The invention also provides a device for identifying the body part in the medical image. According to the invention, the time, labor and cost for interpreting the body part in the medical image are saved, andthe identification accuracy is improved.

Description

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Claims

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Application Information

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Owner COHESION INFORMATION TECH CORP
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