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Medical symptom detection method and system based on 3D variable convolution and sequential feature fusion, terminal and storage medium

A technology of feature fusion and detection methods, applied in neural learning methods, image data processing, image enhancement, etc., can solve the problems of underutilization, 3D network computing efficiency, multi-level related information loss, etc., and achieve the effect of improving detection performance

Active Publication Date: 2020-09-15
HANGZHOU SHENRUI BOLIAN TECH CO LTD +1
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Problems solved by technology

[0006] Aiming at the deficiencies of the existing technology, this application provides a medical sign detection method, system, terminal and storage medium based on 3D variable convolution and time series feature fusion, which solves the problem of computational efficiency of 3D networks and pseudo 3D in the prior art. Issues such as loss of relevant information at multiple levels and underutilization of

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  • Medical symptom detection method and system based on 3D variable convolution and sequential feature fusion, terminal and storage medium
  • Medical symptom detection method and system based on 3D variable convolution and sequential feature fusion, terminal and storage medium
  • Medical symptom detection method and system based on 3D variable convolution and sequential feature fusion, terminal and storage medium

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[0068] In order to make the purpose, technical solutions and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be described clearly and completely in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

[0069] Please refer to figure 1 , figure 1 A flow chart of a method for detecting medical signs based on 3D variable convolution and temporal feature fusion provided by an embodiment of this application, the method 100 includes:

[0070] S101: Acquire 3D input data of medical images or pseudo 3D input data stitched together by multiple consecutive 2D layers;

[0071] S102: Construct a ...

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Abstract

The invention provides a medical symptom detection method and system based on 3D variable convolution and time sequence feature fusion, a terminal and a storage medium. The method comprises the stepsof obtaining 3D input data or pseudo 3D input data of a medical image; constructing a variable convolutional network model, and inputting the standard medical symptom detection data into a variable convolutional neural network for training to obtain a trained variable convolutional neural network model; inputting the 3D input data or pseudo 3D input data of the medical image into a trained variable convolutional neural network model; modeling prediction data output by the variable convolutional neural network model by using time sequence fusion to form prediction data fused with time sequencefeatures based on different scales; performing multi-scale pyramid progressive fusion on the prediction data fused with the time sequence features and having different resolutions to obtain candidateboxes of medical signs; according to the method and the device, the problems of calculation efficiency of a 3D network and loss and insufficient utilization of multi-layer related information of pseudo 3D in the prior art are solved.

Description

Technical field [0001] The field of medical imaging and computer-aided technology of this application, in particular, relates to a medical sign detection method, system, terminal and storage medium based on 3D variable convolution and time series feature fusion. Background technique [0002] The detection of medical signs is a very important issue in the field of disease diagnosis. The traditional diagnosis of suspected malignant areas requires cutting the patient’s tissue from the lesion for biopsy. However, this process has high requirements on the position and angle of the slice, and the degree of trauma to the patient also needs to be considered. [0003] With the development of many medical imaging technologies and the improvement of medical equipment, an opportunity is provided to solve this problem. In the past two decades, computer vision and artificial intelligence have developed rapidly, and there have been many computer-aided diagnosis systems helping doctors to make d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10028G06T2207/10081G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30061G06T2207/30096G06N3/045Y02T10/40
Inventor 马杰超张树俞益洲
Owner HANGZHOU SHENRUI BOLIAN TECH CO LTD
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