Bone age recognition method and system and electronic device

An identification method and identification system technology, applied in the field of skeletal maturity analysis, can solve problems such as unsatisfactory effect, and achieve the effect of improving effect, efficiency and excellent performance

Active Publication Date: 2018-04-10
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Claims
  • Application Information

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Problems solved by technology

However, the effect of the traditional method is not ideal enough. In recent years, some researches using deep learning technology have achieved good results, reflecting its superior performance in this aspect.

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  • Bone age recognition method and system and electronic device
  • Bone age recognition method and system and electronic device
  • Bone age recognition method and system and electronic device

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Embodiment Construction

[0056] 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, not to limit the present application.

[0057] The bone age recognition method in the embodiment of the present application includes a target bone position detection stage and a bone age recognition stage. In the target bone position detection stage, the collected bone image is input into the trained target bone area detection model, and the target bone area detection model detects the position coordinates of the target bone area from the bone image, and automatically cuts out the target bone according to the detection result Picture; in the bone age recognition stage, input the cut target bone picture into the trained bone age ...

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Abstract

The application relates to the technical field of bone maturity analysis, and in particular to a bone age recognition method and system and an electronic device. The bone age recognition method includes the a step a of inputting a bone image into a target bone position detection model, and detecting position coordinates of a target bone in the bone image through the target bone position detectionmodel; a step b of cutting out a target bone image according to the position coordinates of the target bone; and a step c of inputting the target bone image into a bone stage classification model forbone age recognition. The bone age recognition method and system and the electronic device in the application adopt deep learning to automatically classify and recognize ulna and radius images withoutmanual intervention, improve the effectiveness and efficiency of bone age recognition and have better performance than the prior art; and also eliminate the need for manual acquisition, save more time and efforts, and are highly efficient.

Description

technical field [0001] The present application relates to the technical field of skeletal maturity analysis, in particular to a bone age identification method, system and electronic equipment. Background technique [0002] Skeletal maturity (bone age) analysis, as an important indicator of growth and development, plays an important role in the fields of medicine, sports and forensic identification, especially in the clinical management of adolescent scoliosis and other patients. Degree analysis to understand the peak and plateau periods of its growth is crucial for determining clinical observation intervals and timing the initiation and termination of support therapy. However, due to the large number of bone fragments in the wrist, the large amount of information it contains, and the collection is more convenient, the bones of the wrist are usually used for skeletal maturity evaluation. [0003] At present, the commonly used evaluation methods of skeletal development maturi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/73G06K9/62A61B6/00
CPCG06T7/0012G06T7/75A61B6/5217G06T2207/10116G06T2207/20084G06T2207/20081G06T2207/30008G06V2201/033G06F18/29
Inventor 王书强王永灿胡勇曹松
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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