Image processing network training method, computer equipment and readable storage medium

An image processing and processing network technology, applied in the field of image processing, can solve the problems of low network accuracy and so on

Active Publication Date: 2019-11-19
SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a training method, computer equipment and readable storage medium for an image pro

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing network training method, computer equipment and readable storage medium
  • Image processing network training method, computer equipment and readable storage medium
  • Image processing network training method, computer equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The training method of the image processing network provided by the embodiment of the present application can be applied to the training process of the deep learning network model for image processing, and the deep learning network model can be an image classification network model, an image segmentation network model, a target detection network model, etc. , can also be a network model with multi-tasking functions at the same time. The images to be processed can be two-dimensional tomographic images, such as CT images, PET images, MRI images, etc., and these images can be used as training data to train the deep learning network model. When the traditional technology uses two-dimensional tomographic images for training, the continuous structural information between layers is ignored; when using three-dimensional images combined with two-dimensional tomographic images for training, the amount of training data will be greatly reduced, which will lead to training. Network ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an image processing network training method, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a plurality of training sample images, wherein the plurality of training sample images are a plurality of groups of tomographic images; inputting the plurality of training sample images into an initial image processing network for image processing to obtain image processing results of the plurality of training sample images; and calculating the loss between the image processing results of the plurality of training sample images and the corresponding gold standards, calculating the difference value between the image processing results of the adjacent layers of training sample images in the same group of training sample images, and training the initial image processing network according to the loss and the difference value. According to the method, when the loss of the image processing result of the training sample image is calculated, the difference value between the image processing results of the adjacent layers of training sample images is considered, and meanwhile, the number of the training sample images is not reduced, so that the network precision obtained by training is greatly improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image processing network training method, computer equipment and a readable storage medium. Background technique [0002] In the medical field, it is usually necessary to collect medical images of patients for further detection and diagnosis by doctors. At present, the commonly used imaging technologies include computerized tomography (Computed Tomography, CT), nuclear magnetic resonance imaging (Nuclear Magnetic Resonance Imaging, MRI), positron emission computed tomography (Positron Emission Computed Tomography, PET), etc., the medical images obtained by these imaging techniques are usually multi-layer two-dimensional images. Taking the detection of hemorrhage in brain images as an example, the doctor's test results directly affect the patient's follow-up treatment, so the accuracy of the test results is particularly important. [0003] Therefore, the dee...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/194G06K9/62G06N3/04G06N3/08
CPCG06T7/194G06N3/08G06T2207/10072G06T2207/30016G06N3/045G06F18/241
Inventor 沈逸石峰周翔
Owner SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap