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Lung lobe segmentation method and device and storage medium

A lung lobe and segmentation technology, applied in the field of medical image processing, can solve the problems of insufficient lung feature information and poor segmentation effect

Active Publication Date: 2020-09-29
SHENZHEN TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a lung lobe segmentation method, device and storage medium to solve the problem of poor segmentation effect due to insufficient feature information of the current lung (lobe)

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  • Lung lobe segmentation method and device and storage medium

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Embodiment Construction

[0076] The present invention will be described below based on examples, but it should be noted that the present invention is not limited to these examples. In the following detailed description of the invention, some specific details are set forth in detail. However, the present invention can be fully understood by those skilled in the art about the parts that are not described in detail.

[0077] In addition, those of ordinary skill in the art should understand that the provided drawings are only for illustrating the objects, features and advantages of the present invention, and the drawings are not actually drawn to scale.

[0078] At the same time, unless the context clearly requires, the words "include", "include" and other similar words in the entire specification and claims should be interpreted as an inclusive meaning rather than an exclusive or exhaustive meaning; that is, "include but not limited to the meaning of ".

[0079] The execution subject of the lung lobe s...

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Abstract

The invention discloses a lung lobe segmentation method and device and a storage medium, and relates to the field of medical image processing, and the method comprises the steps: obtaining lung imagesat multiple moments in a breathing process; determining a to-be-segmented lung image in the multi-moment lung image, wherein the lung image except the to-be-segmented image is used as a first lung image; fusing the to-be-segmented lung image by using at least one first lung image to obtain a fused lung image, the at least two first lung images comprising at least one lung image at a moment beforethe to-be-segmented image and / or at least one lung image at a moment after the to-be-segmented image; and segmenting the fused lung image by using a preset lung lobe segmentation model to obtain a lung lobe image of the lung image to be segmented. The problem that the segmentation effect is poor due to the fact that feature information of lungs (leaves) is insufficient at present is solved.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a lung lobe segmentation method, device and storage medium. Background technique [0002] The blunt upper end of the lung is called the lung apex, which protrudes upwards through the upper thorax into the root of the neck. The base is located on the top of the diaphragm. The entrance and exit of lymphatic vessels and nerves are called hilum, and these structures that enter and exit the hilum are wrapped together by connective tissue and are called lung roots. The left lung is divided into upper and lower lobes by an oblique fissure, and the right lung is divided into upper, middle and lower lobes by a horizontal fissure in addition to the oblique fissure. [0003] At present, no matter whether traditional machine learning or deep learning is used to segment lung lobes, the classification is based on the characteristics of the lung (lobe). Therefore, the characteristics of...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/20221G06T2207/30061
Inventor 李强杨英健刘洋郭英委曾吴涛康雁
Owner SHENZHEN TECH UNIV
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