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A bone age prediction method and device based on a deep regression network

A prediction method and network technology, applied in computer image processing and medical fields, can solve problems such as poor bone age prediction method, and achieve the effect of poor solution effect.

Active Publication Date: 2019-05-10
HANGZHOU SHENRUI BOLIAN TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The main purpose of this application is to provide a bone age prediction method and device based on a deep regression network to solve the problem of poor bone age prediction methods

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  • A bone age prediction method and device based on a deep regression network
  • A bone age prediction method and device based on a deep regression network
  • A bone age prediction method and device based on a deep regression network

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Embodiment Construction

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0028] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for...

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Abstract

The invention discloses a bone age prediction method and device based on a deep regression network. The method comprises the following steps: inputting a to-be-processed bone age slice image; according to the multi-level key point detection deep convolutional network, obtaining a epiphyseal area image; and inputting the epiphysis region image into a preset deep learning regression network to obtain an epiphysis grade prediction result, and calculating the corresponding bone age. The technical problem that a bone age prediction method is poor in effect is solved. According to the method and thedevice, the epiphysis grade prediction result can be directly output without linking the epiphysis grade labeling database, and the bone age can be accurately predicted. According to the method, theepiphysis area obtained based on multi-level key point detection serves as input, the epiphysis level prediction result is output through the multi-branch deep regression network after the epiphysis area passes through the convolutional network, and the obtained prediction effect is good.

Description

technical field [0001] The present application relates to the fields of medical treatment and computer image processing, and specifically relates to a bone age prediction method and device based on a deep regression network. Background technique [0002] Bone age is the main method for evaluating the biological age of adolescents and children. The development of bone runs through the entire growth and development period, and the bone tissue of all individuals is gradually solidified from cartilage to bone during the development process. The speed of the progressive process from the onset of cartilage model ossification to adult morphology varies among different bones or individuals, providing a basis for the evaluation of bone maturity. Because the wrist contains many types of ossification centers, reflecting the bone development status of the whole body, and it is easy to take pictures, and the X-ray radiation dose is very small, so the bone age of the wrist has been the m...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06N3/04
Inventor 宫平幸子健尹子昊李秀丽俞益洲
Owner HANGZHOU SHENRUI BOLIAN TECH CO LTD
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