Bone age testing method based on machine learning model, and related equipment

A technology of machine learning models and testing methods, applied in the field of machine learning, which can solve problems such as single reliability of algorithms

Pending Publication Date: 2019-09-06
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] Based on this, in order to solve the technical problem of poor reliability of the bone age test system algorithm in the related art, the present invention provides a bone age test method, device, computer equipment and storage medium based on a machine learning model

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  • Bone age testing method based on machine learning model, and related equipment
  • Bone age testing method based on machine learning model, and related equipment
  • Bone age testing method based on machine learning model, and related equipment

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Embodiment Construction

[0055] In order to make the object, technical solution and advantages of the present invention clearer, the present invention 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 invention, not to limit the present invention.

[0056] figure 1 It is an implementation environment diagram of the bone age testing method based on the machine learning model provided in one embodiment, such as figure 1 As shown, in this implementation environment, a computer device 100 and a terminal 200 are included.

[0057] The computer device 100 is a medical system device, such as a computer used by a doctor, a server and other computer devices. X-ray films including bone images to be tested are stored on the terminal 200 . The patient can send the X-ray film to the computer device 100 through the terminal 200, and the computer device 1...

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Abstract

The invention discloses a bone age testing method based on a machine learning model, a device, computer equipment and a storage medium, wherein the method, the device, the computer equipment and the storage medium belong to the field of machine learning technology. The bone age testing method based on the machine learning model comprises the steps of receiving a to-be-tested X-ray film which comprises a bone image; identifying the attributes of multiple predetermined parts of the bone from the bone image of the X-ray film for forming a first attribute set; inputting the first attribute set into the first machine learning model for outputting a first bone age; matching the bone image in the X-ray film with the standard image of the human bone with each bone age, and finding out the bone ageof the human bone which matches the bone image in the X-ray film as a second bone age; performing scoring on the attribute of each predetermined part in the first attribute set, obtaining a total score according to the score of the attribute of each predetermined part, and outputting a third bone age according to the total score; and outputting the weighted summation of the first bone age, the second bone age and the third bone age as the tested bone age. The bone age testing method prevents a testing deviation caused by a single bone age algorithm.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a bone age testing method, device, computer equipment and storage medium based on a machine learning model. Background technique [0002] The current bone age detection system on the market can only use a single algorithm to detect the patient's bone age. The algorithm has not been compared and combined with multiple bone age detection methods. In some scenarios, large errors may occur, which may delay the patient's progress. risk of diagnosis. Contents of the invention [0003] Based on this, in order to solve the technical problem of poor reliability of a single bone age test system algorithm in the related art, the present invention provides a bone age test method, device, computer equipment and storage medium based on a machine learning model. [0004] In the first aspect, a bone age testing method based on a machine learning model is provided, including: [0005...

Claims

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Application Information

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IPC IPC(8): G16H40/20G16H30/20G06T7/00G06K9/62G06N20/00
CPCG16H40/20G16H30/20G06T7/0012G06N20/00G06T2207/10116G06T2207/30008G06V10/751G06F18/22Y02P90/30
Inventor 杨剑青
Owner PING AN TECH (SHENZHEN) CO LTD
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