Bone age evaluating method

A skeletal age and skeleton technology, applied in the field of skeletal age assessment, can solve the problems of limiting the generalization ability of the model, the model cannot be trained end-to-end, and affecting the accuracy of the evaluation results, and achieves good generalization, fast evaluation speed, and accuracy. high effect

Active Publication Date: 2019-08-13
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

However, most of these artificial intelligence technologies introduce specific standards, focus on specific skeletal parts (such as wrist bones, proximal phalanges, etc.) through

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[0012] The following describes the technical solutions in the embodiments of the present invention clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0013] The embodiment of the present invention provides a bone age assessment method, which directly performs automatic detection and recognition on metacarpal images to obtain an assessment result. This method has fast processing speed, high efficiency, and high precision. It can be applied to the imaging department of hospitals, or scientific research institutions, or schools. It can be installed on work computers in the form of software ...

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Abstract

The invention discloses a bone age evaluating method which comprises the steps of based on an attention mechanism, mining a plurality of interested bone areas in a characteristic graph of an originalmetacarpal bone image X; based on an identification mechanism, identifying a plurality of interested bone areas which satisfy a requirement in the plurality of interested bone areas, and splicing theidentified characteristic graph of the plurality of interested bone areas with the characteristic graph of the original metacarpal bone image X for obtaining a characteristic vector C; and finally, after integrating the characteristic graph of each identified interested bone area, the characteristic graph of the original metacarpal bone image X and the characteristic vector C through a full connecting layer, performing bone age predicting, and integrating all predicting results for obtaining a bone age evaluating result. The bone age evaluating method realizes relatively high accuracy and relatively high evaluation speed.

Description

technical field [0001] The invention relates to the technical field of medical image analysis, in particular to a bone age assessment method. Background technique [0002] The traditional bone age assessment usually takes X-rays of the subject's left palm and wrist, and then conducts bone age assessment with the help of common standards. This process relies heavily on the practitioner's experience and is also time-consuming. In addition, there are great differences in skeletal development under different races, climates and other conditions, so the corresponding standards also vary widely, which increases the complexity of bone age assessment. [0003] In order to speed up diagnosis, improve diagnostic accuracy and reduce the burden on doctors, computer-aided diagnosis (CAD) based on artificial intelligence came into being, and achieved a higher accuracy than human experts in bone age assessment. However, most of these artificial intelligence technologies introduce specifi...

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Application Information

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IPC IPC(8): G16H50/70G16H50/20G06K9/32G06K9/62
CPCG16H50/70G16H50/20G06V10/25G06V2201/033G06F18/21
Inventor 张勇东刘传彬谢洪涛
Owner UNIV OF SCI & TECH OF CHINA
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