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Model training method and device and liver segment segmentation method and device

A model training and liver segment technology, applied in the field of image processing, can solve the problem of poor liver segment segmentation effect, and achieve the effect of improving segmentation effect, robustness and accuracy

Active Publication Date: 2022-05-06
INFERVISION MEDICAL TECH CO LTD
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  • Application Information

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Problems solved by technology

[0003] In view of this, the embodiment of the present application provides a model training method and a model training device, a liver segment segmentation method and a liver segment segmentation device, as well as a computer-readable storage medium and electronic equipment, which solve the problems of the existing models for liver segment segmentation. less effective problem

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  • Model training method and device and liver segment segmentation method and device
  • Model training method and device and liver segment segmentation method and device
  • Model training method and device and liver segment segmentation method and device

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Embodiment Construction

[0029] 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.

[0030] example scene

[0031] figure 1 Shown is a schematic diagram of an application scenario of the model training method provided by an embodiment of the present application. figure 1 The illustrated scene includes a server 110 and a data collection device 120 communicatively connected to the server 110 . Specifically, the server 110 is used to determine the training data set, wherein the training data set includes liver sample image data, liver segment labeling data and vein labeling data corresp...

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Abstract

The invention relates to the technical field of image processing, in particular to a model training method, a model training device, a liver segment segmentation method, a liver segment segmentation device, a computer readable storage medium and electronic equipment, and solves the problem that an existing model is poor in liver segment segmentation effect. As the liver vein, portal vein and other veins of the liver have close position relation with the division of the liver segment, the model training method provided by the embodiment of the invention utilizes the training data set comprising the liver sample image data, the liver segment labeling data corresponding to the liver sample image data and the vein labeling data, so that the liver segment labeling data corresponding to the liver sample image data can be obtained. According to the method, the initial network model is trained, so that the initial network model can refer to the vein position in the liver segment segmentation learning process, the segmentation effect of the liver segment segmentation model obtained through training is improved, and the robustness and accuracy of liver segment segmentation are improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and specifically relates to a model training method and model training device, a liver segment segmentation method and liver segment segmentation device, as well as computer-readable storage media and electronic equipment. Background technique [0002] The liver is a segmented organ. Segmentation of the liver into independent segments is crucial in clinical medicine. For example, segments involving liver tumors can be resected individually without damaging the remaining segments, allowing as much liver function as possible to be preserved. At present, the commonly used liver segment segmentation method is to use the existing model to directly segment the liver segment on the computed tomography (CT) image sequence of the liver, and the segmentation effect is poor. Contents of the invention [0003] In view of this, the embodiment of the present application provides a model ...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/00G06K9/62G06V10/774
CPCG06T7/11G06T7/0012G06T2207/20081G06T2207/30056G06F18/214
Inventor 李铁成余航黄文豪王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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