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Image-based rehabilitation prediction method and related product

A prediction method and image technology, applied in the computer field, can solve problems such as predicting the functional prognosis of patients with diseases, and achieve the effects of preserving objectivity and integrity, avoiding gradient disappearance, and high precision

Inactive Publication Date: 2019-01-04
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For common neurodegenerative diseases, such as cervical spondylotic myelopathy (CSM), although most patients have good surgical results, there are currently no good indicators for such diseases to accurately predict the postoperative functional prognosis of patients

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  • Image-based rehabilitation prediction method and related product
  • Image-based rehabilitation prediction method and related product
  • Image-based rehabilitation prediction method and related product

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0029] The terms "first", "second", "third" and "fourth" in the description and claims of the present invention and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited ...

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Abstract

The invention provides an image-based rehabilitation prediction method and a related product. The method comprises a step of acquiring multi-source medical image data and rehabilitation conditions within a set time range before and after a surgery of a CSM patient, and a step of predicting the rehabilitation of the CSM patient in the next stage through a CapsuleNet mechanism and a long and short term memory network (LSTM) according to the multi-source medical image data and the rehabilitation conditions. The technical solution provided by the invention has a function of predicting post-strokerehabilitation.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an image-based rehabilitation prediction method and related products. Background technique [0002] With the continuous breakthrough of medical imaging technology, computer-aided diagnosis has become one of the hot research topics in the field of artificial intelligence. The combination of medical imaging technology and deep learning can provide good support for clinical diagnosis of diseases and physician decision-making. Nowadays, the research of multi-modal medical imaging analysis has attracted extensive attention, which can integrate medical images of multiple modalities of patients on the spatial structure and multi-angle analyze. For common neurodegenerative diseases, such as cervical spondylotic myelopathy (CSM), although most patients have good surgical results, there are currently no good indicators for such diseases to accurately predict the postoperative functional...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20
CPCG16H50/20
Inventor 王书强王鸿飞王翔宇申妍燕
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI