Title:
SCOLIOSIS DETECTION MODEL GENERATING METHOD AND COMPUTER DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/179230
Kind Code:
A1
Abstract:
A scoliosis detection model generating method and a computer device. The scoliosis detection model generating method comprises: acquiring training data, and inputting the training data into an initial neural network, so as to obtain a prediction result corresponding to the training data, the training data comprising advancing parameters of a training sample at multiple moments in an advancing process and a real result corresponding to the training sample; according to the real result and the prediction result, adjusting parameters of the initial neural network, and continuing to execute the step of inputting the training data into the initial neural network so as to obtain a prediction result, until a preset training condition is satisfied, so as to obtain a trained scoliosis detection model. The training data comprises advancing parameters of a training sample at multiple moments in an advancing process, and is dynamic data. The dynamic data in the advancing process is used to train the initial neural network, so that a more accurate detection result can be obtained by means of a trained scoliosis detection model in actual use.
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Inventors:
AN FENGWEI (CN)
LIU ZHANZHI (CN)
LIU ZHANZHI (CN)
Application Number:
PCT/CN2020/078899
Publication Date:
September 16, 2021
Filing Date:
March 12, 2020
Export Citation:
Assignee:
UNIV SOUTHERN SCI & TECH (CN)
International Classes:
G06T7/00
Domestic Patent References:
| WO2018026838A1 | 2018-02-08 |
Foreign References:
| CN109674477A | 2019-04-26 | |||
| CN109330602A | 2019-02-15 | |||
| CN111383221A | 2020-07-07 | |||
| JP2011250998A | 2011-12-15 | |||
| CN109493334A | 2019-03-19 | |||
| CN110495889A | 2019-11-26 | |||
| CN105769210A | 2016-07-20 | |||
| US20170206691A1 | 2017-07-20 |
Attorney, Agent or Firm:
JOHNSON INTELLECTUAL PROPERTY AGENCY(SHENZHEN) (CN)
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