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Detection method and device for skull fracture and storage medium

A skull fracture and detection method technology, applied in the field of neural network, can solve the problems of easily missing bone fragments and poor detection effect of RPN model, and achieve the effects of reducing sensitivity, improving generalization ability, and improving detection effect.

Active Publication Date: 2022-08-09
BEIJING ANDE YIZHI TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, in the above method, the use of binarization method to segment the skull region is easy to miss some comminuted fracture bone fragments, and the detection effect of the current RPN model is not good.

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  • Detection method and device for skull fracture and storage medium
  • Detection method and device for skull fracture and storage medium
  • Detection method and device for skull fracture and storage medium

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Embodiment Construction

[0063] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures denote elements that have the same or similar functions. While various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise indicated.

[0064] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

[0065] In addition, in order to better illustrate the present application, numerous specific details are given in the following detailed description. It should be understood by those skilled in the art that the present application may be practiced without certain specific details. In some instances, methods, means, compone...

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Abstract

The invention relates to the technical field of neural networks, in particular to a skull fracture detection method and device and a storage medium. The method comprises the following steps: acquiring a to-be-detected head medical image; a target detection model is obtained, the target detection model comprises a random residual network, and a random convolution layer in the random residual network is used for randomly shielding output data of a part of convolution kernels; according to the head medical image, the target detection model is called to output and obtain a target detection result, and the target detection result is used for indicating the detection condition of skull fracture. According to the embodiment of the invention, by introducing the designed random residual network into the target detection model, the sensitivity of network parameters can be reduced, overfitting in a scene with limited training data is avoided, and the generalization ability of the model on a small data set is effectively improved, so that the detection effect of the model is improved.

Description

technical field [0001] The present application relates to the technical field of neural networks, and in particular, to a skull fracture detection method, device and storage medium. Background technique [0002] With the development of computer technology, more and more people transmit information through images. Object detection is an important branch in image processing, and its purpose is to determine the location of the target object in the image. [0003] The traditional method of target detection in medical images is to determine the position of the target object in the image by finding the positioning points on the target object in the medical image. Taking the target object as an example of skull fracture, skull fracture is a common traumatic disease, and skull fracture detection is an important application. Skull fracture areas tend to be small, irregular, and resemble surrounding normal tissue on Computed Tomography (CT) images. In the related art, the process o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/764G06V10/766G06V10/774G06V10/82G06N3/04G06N3/08
CPCG06T7/0012G06V10/764G06V10/766G06V10/774G06V10/82G06N3/08G06V2201/033G06V2201/07G06T2207/20081G06T2207/20084G06T2207/30008G06N3/047G06N3/045
Inventor 刘亚欧黄一锟吴振洲
Owner BEIJING ANDE YIZHI TECH CO LTD
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