Medical image segmentation method and device, computer equipment and readable storage medium

A medical imaging and segmentation technology, applied in the field of artificial intelligence, can solve the problems of time-consuming, low efficiency, and low segmentation accuracy in organ segmentation, and achieve the effect of improving segmentation accuracy and efficiency

Pending Publication Date: 2019-11-22
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current AI segmentation method is very dependent on the accuracy of organ labeling, and requires a large number of medical image samples with labeled organs to train the network. Therefore, organ segmentation is very time-consuming, low in efficiency, and low in accuracy

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  • Medical image segmentation method and device, computer equipment and readable storage medium
  • Medical image segmentation method and device, computer equipment and readable storage medium
  • Medical image segmentation method and device, computer equipment and readable storage medium

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Embodiment Construction

[0079] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0080] Embodiments of the present application provide a medical image segmentation method, device, computer equipment, and computer-readable storage medium. Wherein, the medical image segmentation apparatus may be integrated in a computer device, and the computer device may be a server, or a terminal and other devices.

[0081] The medical image segmentation solution provided in the embodiment of the present application involves computer vision technology (Co...

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Abstract

The embodiment of the invention discloses a medical image segmentation method and device, computer equipment and a readable storage medium, and relates to the computer vision technology of artificialintelligence. The method includes: acquiring a first medical image and a second medical image marked with a target object area; respectively carrying out feature extraction on the first medical imageand the second medical image to obtain first feature information of the first medical image and second feature information of the second medical image; acquiring optical flow motion information from the second medical image to the first medical image according to the first feature information and the second feature information; and segmenting a target object in the first medical image according tothe optical flow motion information and the marked target object area to obtain a segmentation result of the first medical image. According to the scheme, the segmentation accuracy and efficiency ofthe medical image can be greatly improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a medical image segmentation method, device, computer equipment and readable storage medium. Background technique [0002] With the development of artificial intelligence (AI, Artificial Intelligence), the application of AI in the medical field is becoming more and more extensive, especially in the segmentation of medical images. For example, taking the segmentation of the liver as an example, a convolutional neural network can be trained by using the sample images of the marked liver, and then the three-dimensional (3D, 3Dimension) liver image to be segmented, such as the computerized tomography (CT, Computed Tomography) images are input to the trained convolutional neural network for segmentation to obtain organ segmentation results, such as liver regions, and so on. [0003] However, the current AI segmentation method relies heavily on the accuracy of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/215G06T7/00
CPCG06T7/11G06T7/215G06T7/0012G06T2207/20081G06T2207/20084G06T2207/30048G06T2207/30056G06T2207/10081G06T2207/10088G06T2207/10068G06T7/269G06T7/246G06T2207/10056G06T2207/30084G06T2207/30096G06T2207/10016G06T2207/30101G06N3/088
Inventor 曹世磊胡一凡马锴郑冶枫
Owner TENCENT TECH (SHENZHEN) CO LTD
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