An automatic segmentation method of endangered organs based on convolution neural network

A convolutional neural network and automatic segmentation technology, applied in the field of image processing, can solve the problems of inability to realize automatic segmentation of organs at risk, low accuracy of segmentation results, and low segmentation efficiency, so as to improve segmentation efficiency and accuracy of segmentation results, and relieve medical resources. Effects that are in short supply and difficult to obtain
CN109300136AActive Publication Date: 2019-02-01ZHONGAN INFORMATION TECH SERVICES CO LTD
11 Cites 12 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHONGAN INFORMATION TECH SERVICES CO LTD
Publication Date
2019-02-01

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an automatic segmentation method of a dangerous organ based on a convolution neural network, belonging to the technical field of image processing. The method comprises the following steps: S1, acquiring patient CT image data and corresponding labeling data; S2, preprocessing the CT graphic data and the corresponding labeling data; 3, establish a 3D convolution neural network model, inputting data block, and obtaining a prediction result image output by that model; S4: optimizing the prediction result image output by the 3D convolution neural network model. The present invention is only based on CT image data, has small difficulty in obtaining original data and wide application range, and can realize automatic segmentation of dangerous organs in CT image, and the segmentation process does not require manual interference, effectively improves segmentation efficiency and segmentation result precision, increases post-processing operation, and further optimizes the segmentation result.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to an automatic segmentation method for organs at risk based on a convolutional neural network. Background technique

[0002] Malignant tumor, which is often called cancer, is currently a global disease that is difficult to treat. It is equivalent to a killer in medicine and is the number one cause of death in the world. Among them, lung cancer is one of the thoracic malignant tumors with the fastest increasing morbidity and mortality rate and the greatest threat to the health and life of the population. The etiology of lung cancer is still not completely clear, but a lot of data show that long-term heavy smoking, urban air pollution and carcinogens contained in smoke may all lead to the occurrence of lung cancer. In addition, esophageal cancer is also a common thoracic tumor. According to statistics, about 300,000 people die of esophageal cancer every year in the world, a...

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