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Lung lobe lung segment segmentation model training method and device

A segmentation model and lung lobe technology, applied in the field of image analysis, can solve problems such as low accuracy, and achieve the effect of improving the effect, low cost, and improving the speed and quality of review.

Pending Publication Date: 2020-09-18
HANGZHOU SHENRUI BOLIAN TECH CO LTD +1
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Problems solved by technology

[0005] In view of this, the embodiment of the present application provides a lung lobe and lung segment segmentation model training method and device, which solves the problem of low accuracy of the existing lung lobe and lung segment segmentation model training methods

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  • Lung lobe lung segment segmentation model training method and device
  • Lung lobe lung segment segmentation model training method and device
  • Lung lobe lung segment segmentation model training method and device

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. 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.

[0029] As mentioned above, in view of the low cost of complete labeling and high labeling accuracy for lung and lung lobes segmentation, the algorithms used for lung and lung lobes segmentation in current lung structure segmentation are basically based on deep learning. However, the cost of complete labeling of lung segments is extremely high and it is easy to make mistakes. Therefore, the algorithms used for lung segment segmentation are basically based on traditional image algorithms. The accuracy of l...

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Abstract

The embodiment of the invention provides a lung lobe lung segment segmentation model training method and device. The problem that an existing lung lobe lung segment segmentation model training mode islow in accuracy is solved. The lung lobe and lung segment segmentation model training method comprises the steps of obtaining sample image data including a lung region mark, a lung lobe region mark and a lung segment region mark; inputting the sample image data into an instance segmentation model to obtain a lung lobe contour segmentation result and a lung segment contour segmentation result; calculating a loss function value according to the difference between the lung lobe contour segmentation result and the lung segment contour segmentation result and the difference between the lung lobe region mark and the lung segment region mark; and adjusting network parameters of the instance segmentation model based on the loss function value.

Description

technical field [0001] The present application relates to the technical field of image analysis, in particular to a lung lobe and segment segmentation model training method, device, electronic equipment and computer-readable storage medium. Background technique [0002] In the diagnosis and treatment of lung diseases, locating the location of the disease is a key step in formulating a treatment plan. Lobe and segment segmentation is the first step in locating the lesion. Traditional lobes and segments are delineated manually by the treating physician. Due to the complex structure of the lungs, the results drawn by different doctors vary greatly, and doctors with low seniority need to spend more time judging the positions of lung lobes and lung segments. With the development of computer technology and medical imaging technology, doctors can use computer-aided technology to improve the accuracy and speed of segmentation of lung lobes and lung segments. In recent years, with...

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Application Information

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IPC IPC(8): G06T7/11G06T7/194
CPCG06T7/11G06T7/194G06T2207/10081G06T2207/20081G06T2207/30061Y02T90/00
Inventor 刘波周振俞益洲李一鸣
Owner HANGZHOU SHENRUI BOLIAN TECH CO LTD
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