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Three-dimensional reconstruction network training method and device and three-dimensional reconstruction method and device

A technology of 3D reconstruction and training method, which is applied in the field of 3D reconstruction, can solve problems such as dependence and inconvenience to doctors, and achieve the effects of accurate diagnosis, improved work efficiency, and intuitive 3D information

Active Publication Date: 2021-03-02
INFERVISION MEDICAL TECH CO LTD
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Problems solved by technology

[0004] However, in the currently reconstructed 3D image, the distinction of various body tissue structures still depends on the doctor's clinical experience, which brings inconvenience to the doctor

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Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. 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 persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] For ease of understanding, the following first briefly introduces related terms and related concepts that may be involved in the embodiments of the present application.

[0035] (1) 3D reconstruction

[0036] Three-dimensional reconstruction refers to obtaining a full range of three-dimensional images of human organs through two-dimensional images, which can provide doctors with more intuitive and accurate information on lesion location, s...

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Abstract

The invention provides a three-dimensional reconstruction network training method and device and a three-dimensional reconstruction method and device. The training method of the three-dimensional reconstruction network comprises the steps: acquiring a two-dimensional medical image sample corresponding to a three-dimensional medical image sample; inputting the two-dimensional medical image sample into a three-dimensional reconstruction network to obtain a three-dimensional reconstruction segmentation image corresponding to the two-dimensional medical image sample, wherein the three-dimensionalreconstruction segmentation image is a reconstructed and segmented three-dimensional medical image; training the three-dimensional reconstruction network on the basis of the three-dimensional reconstruction segmentation image and the three-dimensional segmentation data marked on the three-dimensional medical image sample, so that the three-dimensional reconstruction network obtained by training can provide richer and more visual three-dimensional information for doctors, help doctors to diagnose more accurately, reduce missed diagnosis and misdiagnosis of doctors and improve the working efficiency of doctors.

Description

technical field [0001] The invention relates to the technical field of three-dimensional reconstruction, in particular to a training method and device for a three-dimensional reconstruction network, and a three-dimensional reconstruction method and device. Background technique [0002] Three-dimensional reconstruction refers to obtaining a full range of three-dimensional images of human organs through two-dimensional images, which can provide doctors with information on lesion location, spatial structure, shape, volume, etc. Help, but also help to improve the accuracy and safety of surgery. [0003] For example, when radiologists view two-dimensional DR rib images, it is not very intuitive due to the problem of superimposition of body tissues. For small lesions (such as fractures, bone cracks, etc.), they may not be able to see clearly. Missed diagnosis is easy to occur; if you want to see the three-dimensional effect, you need to take a three-dimensional CT image again, wh...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20G06T7/11G06N3/04G06N3/08
CPCG06T17/20G06T7/11G06N3/084G06T2207/10081G06T2207/30008G06N3/045
Inventor 尹思源李玉才余航张欢王瑜王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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