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Liver region segmentation method and device, electronic equipment and storage medium

A region segmentation and liver technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as differences in liver shape and achieve the effect of improving segmentation accuracy

Pending Publication Date: 2021-07-27
PING AN TECH (SHENZHEN) CO LTD
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  • Description
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Problems solved by technology

Compared with CT images, MRI images (Magnetic Resonance Imaging, MRI) usually use a variety of imaging principles to generate multiple sequences with different resolutions, and the sequence types included in different patients are also different. At the same time, MRI is widely used in liver tumors. Diagnosis, so many MRIs contain tumor regions, making the liver shape different from the healthy liver, which also brings challenges to liver segmentation

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  • Liver region segmentation method and device, electronic equipment and storage medium
  • Liver region segmentation method and device, electronic equipment and storage medium
  • Liver region segmentation method and device, electronic equipment and storage medium

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0026] The terms "first", "second", "third" and "fourth" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed ste...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to a liver region segmentation method and device, electronic equipment and a storage medium. The method comprises the steps fo obtaining a nuclear magnetic resonance image, wherein the nuclear magnetic resonance image comprises a plurality of image sequences, and each image sequence in the plurality of image sequences comprises a plurality of frames of two-dimensional images; selecting at least one target image sequence from the multiple image sequences, and determining a target two-dimensional image in each target image sequence in the at least one target image sequence, wherein body parts contained in the target two-dimensional images in the at least one target image sequence are the same; and inputting the target two-dimensional image in each target image sequence and front and back two-dimensional images adjacent to the target two-dimensional image in each target image sequence into the trained neural network, and performing image segmentation on the images in each target image sequence to obtain a liver region in the target two-dimensional image. The embodiment of the invention is beneficial to improving the segmentation precision of the liver region.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a liver region segmentation method, device, electronic equipment and storage medium. Background technique [0002] Liver segmentation has important applications in the diagnosis of liver tumors, cirrhosis, hepatitis and other diseases. It is the basic task to realize the only diagnosis of liver diseases. The liver segmentation model with excellent performance can assist in removing false positive areas of tumor detection and calculating liver volume. , Predict the degree of tumor invasion, assist in surgical planning, etc. [0003] Most current liver segmentation models are developed based on (Computed Tomography, CT) images. Compared with CT images, MRI images (Magnetic Resonance Imaging, MRI) usually use a variety of imaging principles to generate multiple sequences with different resolutions, and the sequence types included in different patients ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/00
CPCG06T7/11G06T7/0012G06T2207/10088G06T2207/20081G06N3/02G06T2207/30056
Inventor 赖柏霖吴宥萱白晓宇黄凌云周晓云亚当哈里森吕乐肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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