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Tumor prediction device, terminal equipment and storage medium based on cyclic neural network

A technology of cyclic neural network and prediction device, which is applied in the field of tumor prediction device, and can solve the problems such as the increasing difficulty of tumor disease

Active Publication Date: 2022-05-27
精锐视觉科技(山东)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a tumor prediction device, a terminal device, and a storage medium based on a cyclic neural network, so as to solve the problem that it is more difficult for doctors to analyze and judge tumor conditions in the prior art

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  • Tumor prediction device, terminal equipment and storage medium based on cyclic neural network
  • Tumor prediction device, terminal equipment and storage medium based on cyclic neural network
  • Tumor prediction device, terminal equipment and storage medium based on cyclic neural network

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Embodiment Construction

[0018] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are set forth in order to provide a thorough understanding of the embodiments of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0019] In order to illustrate the technical solutions of the present invention, the following specific embodiments are used for description.

[0020] figure 1 Shown is a schematic diagram of the steps of the tumor prediction method based on the cyclic neural network provided by the embodiment of the present invention. The method is implemented by, for example, each modul...

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Abstract

The present invention is applicable to the field of medical imaging technology, and provides a tumor prediction device based on a cyclic neural network, a terminal device, and a storage medium. The data predicts the predicted treatment information of the patient at the current stage; the comparison module is used to compare the predicted treatment information with the doctor's suggested treatment information for the patient at the current stage, and determine the actual treatment information of the patient at the current stage; the second prediction module, It is used to encode the nuclear magnetic resonance data and the actual processing information to obtain the nuclear magnetic resonance vector and the actual processing vector input into the pre-trained cyclic neural network model, and output the patient's tumor prediction result in the next stage. Through the memory ability of the cyclic neural network, the patient's tumor condition in the next stage is predicted, which solves the problem of increasing difficulty for doctors to analyze and judge the tumor condition in the prior art.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, and particularly relates to a tumor prediction device, terminal equipment and storage medium based on a cyclic neural network. Background technique [0002] In order to prepare for treatment in advance, predict the severity of major diseases. For example, the tumor condition of tumor patients can be predicted based on MRI images, so as to understand the development trend of the tumor condition of tumor patients. However, as the number of patients increases and the MRI data increases, it is almost impossible to accurately predict the tumor condition only by relying on the professional ability and experience of doctors. Moreover, as the patient's condition tends to become more complicated, the pathology hidden in the MRI image becomes more and more complicated, which makes it more difficult for doctors to analyze and judge the tumor condition. SUMMARY OF THE INVENTION [0003] In view o...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20G06N3/04
CPCG16H50/20G06N3/044
Inventor 孔庆杰林姝
Owner 精锐视觉科技(山东)有限公司