Complementary model method and device and computer readable storage medium

A computer and model technology, applied in the field of complementary models, can solve the problems of affecting the accuracy of coronary images, the complexity of coronary arteries, and the rupture of coronary vessels, and achieve the effect of convenient segmentation, high accuracy, and simplified segmentation process.
CN109934816AActive Publication Date: 2019-06-25数坤(北京)网络科技股份有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
数坤(北京)网络科技股份有限公司
Publication Date
2019-06-25

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Abstract

The invention discloses a complementary model method and device and a computer readable storage medium, and the method comprises the steps: carrying out the first model training of a blood vessel datasample, and obtaining a first neural network model; performing second model training on the blood vessel data sample to obtain a second neural network model complementary to the first neural networkmodel; and segmenting the blood vessel data through the first neural network model and the second neural network model to obtain a blood vessel data segmentation result.
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Description

technical field

[0001] The invention relates to the technical field of image forming, in particular to a complementary model method, equipment and computer-readable storage medium. Background technique

[0002] Coronary artery disease is the most common cardiovascular disease caused by the buildup of plaque within the coronary arteries. Plaque narrows the arteries and eventually affects the blood supply to the heart. Rapidly developing non-invasive imaging techniques such as computed tomography angiography (CTA) are commonly used to obtain images of coronary arteries because of their relatively low cost.

[0003] However, due to the complexity of the coronary arteries, when the automatic coronary artery segmentation model segments coronary artery images, non-coronary artery veins or coronary vessel ruptures are likely to appear on the image, which affects the automatic coronary artery segmentation model. Coronary Artery Segmentation Model Accuracy of Segmented Coronary Art...

Claims

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