Focus detection method, device and equipment based on visual angle decoupling Transform model and medium

A detection method and technology of lesions, applied in the field of deep learning and medical imaging, can solve the problems affecting the detection accuracy and difficulty in early detection of lesions, and achieve the effects of avoiding miss or confusion, improving detection accuracy, and strong recognition effect

Pending Publication Date: 2022-05-27
SHENZHEN RES INST OF BIG DATA
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to address the above technical problems and provide a lesion detection method, device, equipment and storage medium based on the perspectiv

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
  • Focus detection method, device and equipment based on visual angle decoupling Transform model and medium
  • Focus detection method, device and equipment based on visual angle decoupling Transform model and medium
  • Focus detection method, device and equipment based on visual angle decoupling Transform model and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] In one embodiment, asfigure 1 As shown in the figure, a lesion detection method based on the perspective decoupling Transformer model is provided, including the following steps:

[0055] In step S110, the MRI image data of the user to be tested is acquired, and the MRI image data is preprocessed;

[0056] In this embodiment of the present application, an MRI (Magnetic Resonance Imaging) of the user may be acquired through a nuclear ma...

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 discloses a focus detection method, device and equipment based on a visual angle decoupling Transform model and a storage medium, and the method comprises the steps: obtaining MRI image data of a to-be-detected user, and carrying out the preprocessing of the MRI image data; acquiring slice data according to the preprocessed MRI image data, and inputting the slice data into a pre-trained focus detection model; performing feature extraction on the slice data to obtain high-level feature data; fusing the high-level feature data on different scales through different visual angles to obtain high-level feature prediction data; and predicting the focus of the to-be-detected user through the high-level feature prediction data. The extracted feature data are fused at different scales through different view angles, so that context information of input slices can be enhanced, multi-scale feature prediction is realized, the positioning precision of a focus is improved, a very strong recognition effect on early tumors is achieved, and the detection accuracy is effectively improved.

Description

technical field [0001] The invention relates to the technical fields of deep learning and medical imaging, and in particular to a method, device, device and storage medium for lesion detection based on a perspective decoupling Transformer model Background technique [0002] With the continuous improvement of the economic level and the rapid development of medical technology, people have higher demands for health. Therefore, medical imaging technology has been innovated and developed vigorously. The scientific use of medical image analysis to efficiently and accurately analyze tissue and cell images. Classification can help doctors better explore the path of treatment of lesions. [0003] At present, in traditional lesion detection, taking brain tumor as an example, template matching is usually used to calculate the position of a predefined brain tumor template in the image. These methods are affected by the inaccuracy of hand-designed features; in addition, lesion segmentati...

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): G06T7/00G06K9/62G06V10/80G06V10/82G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30016G06T2207/30096G06N3/045G06F18/253
Inventor 李灏峰黄俊嘉李冠彬刘周钟贻洪陈影影王云飞罗德红万翔
Owner SHENZHEN RES INST OF BIG DATA
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