Segmentation of Nasopharyngeal Carcinoma Using 3D CNN Based on Multi-scale Feature Pyramid

A multi-scale feature, nasopharyngeal cancer technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as the inability to promote rapid convergence in the upsampling stage, the inability of DCNN to learn global features, and the lack of original feature reuse. , to achieve good generalization ability, maintain network gradient flow, and increase the effect of reuse

Active Publication Date: 2018-12-21
CHENGDU UNIV OF INFORMATION TECH
View PDF5 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This processing method will cause two problems: a large number of redundant calculations lead to low time efficiency, and DCNN cannot learn global features
In summary, there are two problems with th

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
  • Segmentation of Nasopharyngeal Carcinoma Using 3D CNN Based on Multi-scale Feature Pyramid
  • Segmentation of Nasopharyngeal Carcinoma Using 3D CNN Based on Multi-scale Feature Pyramid
  • Segmentation of Nasopharyngeal Carcinoma Using 3D CNN Based on Multi-scale Feature Pyramid

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0039] figure 1For the network structure of the present invention, in the down-sampling stage, the original feature is continuously passed to each residual block to increase the reuse of the original feature, and it is passed to the up-sampling stage horizontally. In the downsampling stage, the present invention connects the feature maps generated by three dilated convolutional layers, and adds a 1×1×1 convolution to form a spatial feature pyramid containing four parallel convolutions. This structure resamples the convolutional features extracted at a single scale, fuses multi-scale features, and incorporates global contextual information into the model. After the feature pyramid, a convolution with a kernel size of 1×1×1 is used to reduce the number of feature maps. Since the image size of each downsampling stage is different, the expansion...

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 a nasopharyngeal tumor image segmentation technology in the image segmentation field, in particular to a 3D CNN nasopharyngeal carcinoma segmentation method based on a multi-scale feature pyramid. For the training samples, the experienced radiologist should label several cases of nasopharyngeal carcinoma, use the whole three-dimensional MRI image to establish the data set,and preprocess the data set, then train the training data set with network to obtain high-precision segmentation model. For new cases, the segmentation model can be used to segment MRI images. Compared with the traditional methods, except for manual labeling in the training phase, the other parts can be processed automatically, which greatly reduces the demand for experienced physicians and achieves higher accuracy compared with the five mainstream networks.

Description

technical field [0001] The invention relates to a nasopharyngeal tumor image segmentation technology in the field of image segmentation, in particular to a 3D CNN nasopharyngeal cancer segmentation method based on a multi-scale feature pyramid. Background technique [0002] Nasopharyngeal carcinoma is one of the most common cancers in the nasopharyngeal tissue structure, and it often occurs in malignant tumors on the roof and side walls of the nasopharyngeal cavity. The disease is one of the malignant tumors with high incidence in the world, and its incidence rate is the first among malignant tumors of the ear, nose and throat, accounting for 1% of all cancer diseases. Nasopharyngeal tumors have a more complex anatomy compared to other types of tumors such as lung tumors. It is spatially similar to several tissues (air, bone, muscle, and mucous membrane) that process similar image intensities, and the shape and size of nasopharyngeal carcinoma, as well as non-uniform tumor ...

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): G06K9/34G06N3/04
CPCG06V10/267G06V2201/03G06N3/045
Inventor 李孝杰郭峰史沧红吕建成吴锡何嘉伍贤宇罗超张宪刘书樵李俊良
Owner CHENGDU UNIV OF INFORMATION TECH
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