Organ sketching method and device, computer device and storage medium

A computer program and organ technology, applied in the field of deep learning, can solve problems such as poor universality of algorithms, long time-consuming, large differences, etc., and achieve the effect of short time-consuming, high efficiency and high accuracy

Inactive Publication Date: 2019-05-21
SHANGHAI UNITED IMAGING HEALTHCARE
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Problems solved by technology

[0004] Based on this, it is necessary to design a set of targeted algorithms for each type of organs to automatically outline them due to the particularity of human medical images, which have various shapes and huge differences. Poor adaptability and low efficiency technical problems, providing a method, device, computer equipment and storage medium capable of organ delineation

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  • Organ sketching method and device, computer device and storage medium
  • Organ sketching method and device, computer device and storage medium
  • Organ sketching method and device, computer device and storage medium

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[0044] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0045] In recent years, with the emergence of big data, the powerful computing power of computer hardware, and the rapid development of neural network-related technologies, deep learning has made important breakthroughs in the field of artificial intelligence. It has achieved great success in many fields such as video analysis. Recently, deep learning has also been gradually applied in medical image processing and analysis, such as: image recognition and detection, image segmentation, image registration, image generation and image denoising, etc. The main difference betwe...

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Abstract

The invention relates to an organ sketching method and device, a computer device and a storage medium. The method comprises the following steps: inputting a to-be-processed medical image into a firstdeep convolutional neural network to obtain a target area image, and inputting the target area image into a second deep convolutional neural network to obtain an initial segmented image; and obtainingan organ sketching result based on the initial segmentation image. In the organ sketching method and device, a computer device and a storage medium, a deep learning model is adopted, a universal framework is established, different types of organs can be effectively and automatically sketched, consumed time is short, adaptability is high, efficiency is high, meanwhile, a target area is located firstly, then the target organ is segmented, and a segmentation result obtained within a small range is more accurate and higher in accuracy.

Description

technical field [0001] The present application relates to the technical field of deep learning, in particular to an organ delineation method, device, computer equipment and storage medium. Background technique [0002] The automatic delineation of organs is an important step in the effective implementation of radiotherapy planning. A basic prerequisite for the successful treatment of cancer with computer-assisted radiotherapy is to confirm the location and size of the tumor while protecting key organs around the lesion. [0003] Therefore, accurate and efficient automatic delineation of key organs is the key to realize adaptive radiation therapy and surgical navigation, which is of great significance. Due to the particularity of human medical images, there are various forms of organs with huge differences. Designing a set of targeted algorithms for each type of organs to automatically outline them takes a long time and the algorithm is not universally applicable and efficien...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T5/00
Inventor 姜娈李强
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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