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Method and device for training target detection model of medical images

A medical image and target detection technology, applied in the field of image analysis, can solve the problems of low accuracy and low efficiency, and achieve the effect of high space and time efficiency and accurate detection effect.

Active Publication Date: 2020-07-24
BEIJING SHENRUI BOLIAN TECH CO LTD +1
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Problems solved by technology

[0005] In view of this, the embodiment of the present application provides a medical image target detection model training method and device, which solves the problems of low accuracy and low efficiency of the existing medical image target detection methods

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  • Method and device for training target detection model of medical images
  • Method and device for training target detection model of medical images
  • Method and device for training target detection model of medical images

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0028] figure 1 Shown is a schematic flowchart of a method for training a medical image target detection model provided by an embodiment of the present application. Such as figure 1 As shown, the target detection model training method of the medical image comprises the following steps:

[0029] Step 101: input medical image samples including images of multiple slices in a three-dimensional space and labeled detection frames corresponding to the medical image samples into a convolutional neural network....

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Abstract

Embodiments of the present application provide a method and device for training a medical image target detection model, which solves the problems of low accuracy and low efficiency of the existing medical image target detection methods. The method for training a target detection model of a medical image includes: inputting a medical image sample including multiple layers of images in a three-dimensional space and a marked detection frame corresponding to the medical image sample into a convolutional neural network; based on the convolutional neural network Extracting the three-dimensional feature maps of the images at multiple levels; obtaining a predicted detection frame based on the convolutional neural network according to the three-dimensional feature map; calculating a loss between the predicted detection frame and the labeled detection frame; and based on the The loss adjusts the network parameters of the convolutional neural network.

Description

technical field [0001] The present application relates to the technical field of image analysis, in particular to a method, device, electronic device and computer-readable storage medium for training a medical image target detection model. Background technique [0002] Computer-aided diagnosis technology with deep learning technology as the core is more and more widely used in clinical practice. At present, the problem of lesion detection in three-dimensional medical images such as CT (Computed Tomography) and MRI (Magnetic Resonance Imaging) has become a hot spot in related research. Different from natural images, medical image data of CT, MRI and other modalities have multiple levels, which is a description of human tissue and structure in three-dimensional space. Therefore, in the target detection task for such medical images, in addition to considering spatial information, it is also necessary to use multiple levels of features for auxiliary modeling. [0003] Currentl...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06T7/00G16H50/20
CPCG06N3/08G06T7/0012G16H50/20G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30096G06N3/045
Inventor 张树马杰超李梓豪俞益洲
Owner BEIJING SHENRUI BOLIAN TECH CO LTD
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