Image segmentation method and device, electronic equipment and computer readable storage medium

An image segmentation and image technology, applied in image analysis, calculation, image enhancement, etc., can solve the problems of low segmentation accuracy, time-consuming segmentation of abdominal muscle images and fat images, etc.

Pending Publication Date: 2020-09-22
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention proposes an image segmentation method, device, electronic equipment, and computer-readable storage medium to solve the problems of time-consuming segmentation of abdominal muscle images and fat images and low segmentation accuracy in the prior art

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 segmentation method and device, electronic equipment and computer readable storage medium
  • Image segmentation method and device, electronic equipment and computer readable storage medium
  • Image segmentation method and device, electronic equipment and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0057] The invention proposes an image segmentation method. refer to figure 1 As shown, it is a schematic flowchart of an image segmentation method provided by an embodiment of the present invention. The method may be performed by a device, and the device may be implemented by software and / or hardware.

[0058] In this embodiment, the image segmentation method includes:

[0059] Step S100, converting abdominal CT image data in DICOM format into abdominal images in JPG format.

[0060] In this embodiment, a specific window width and window level for abdominal images are set for CT abdominal image data in Digital Imaging and Communications in Medicine (DICOM) format, and then the CT image data in DICOM format is converted to Convert the abdomen image to JPG format, and save the abdomen image in JPG format. It shoul...

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 the field of artificial intelligence, and provides an image segmentation method, which comprises the steps of converting abdominal CT image data in a DICOM format into an abdominal image in a JPG format; inputting the abdomen image in the JPG format into a generative network model constructed based on a Vnet network model; generating a 6-channel prediction segmentation label through the generation network model; and obtaining a prediction segmentation result image according to the 6-channel prediction segmentation label, the prediction segmentation result image comprising a subcutaneous fat image, a muscle image, a bone image, a visceral fat image, a visceral organ image and a background image. In addition, the invention further relates to a blockchain technology,and the abdomen CT image data in the DICOM format and the abdomen image in the JPG format are stored in a blockchain. Therefore, the segmentation effect of the abdominal muscle image and the fat imagecan be improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an image segmentation method, device, electronic equipment and computer-readable storage medium. Background technique [0002] The analysis of human body composition such as fat and skeletal muscle is an important means of medical research. The content of fat and skeletal muscle in the human body is an important basis for evaluating the nutritional status of an individual, and plays an important role in clinical links such as diagnosis, treatment and prognosis of patients. Guiding significance. At present, quantitative analysis of fat and skeletal muscle based on imaging techniques such as computed tomography (CT) is a widely recognized evaluation method. In particular, the skeletal muscle area, visceral fat area, subcutaneous fat area, and total abdominal fat volume of the umbilical plane CT images have important clinical values. [0003] At present, the common method fo...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/194G06T3/00G06T7/62
CPCG06T3/0012G06T7/0012G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30004G06T7/11G06T7/194G06T7/62
Inventor 章古月
Owner PING AN TECH (SHENZHEN) 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