A brain tumor medical image segmentation method based on deep learning

A medical image and deep learning technology, applied in the field of brain tumor medical image segmentation based on deep learning, can solve time-consuming and labor-intensive problems, achieve accurate segmentation results, and solve time-consuming and labor-intensive effects

Inactive Publication Date: 2019-05-28
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] The traditional manual segmentation method is time-consuming and labor-intensive. At present, with the development

Method used

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  • A brain tumor medical image segmentation method based on deep learning
  • A brain tumor medical image segmentation method based on deep learning

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Embodiment 1

[0044] see figure 1 , in an embodiment of the present invention, a brain tumor medical image segmentation method based on deep learning, comprising:

[0045] Train the segmentation model, and perform deep learning training on the segmentation model. After the segmentation model training is completed, the brain tumor medical image can be segmented;

[0046] Receive brain tumor medical image data information to be segmented, wherein the brain tumor medical image data information includes medical PET-CT imaging, multispectral imaging, PET-MRI imaging, multi-resolution optical imaging, magnetic resonance T1 weighted image (MRT1W), Magnetic resonance T1-weighted images (MRT2W) and proton density images (PD), etc., the segmentation objects in brain tumor medical image data information include various target areas such as organs, tissues, cells, tumors, etc. Segmenting target areas is beneficial to clinical diagnosis and treatment and medical research;

[0047] Carry out segmentati...

Embodiment 2

[0061] see figure 2 , in an embodiment of the present invention, a brain tumor medical image segmentation system based on deep learning, including:

[0062] Segmentation model training module 1, which is used to perform deep learning training on the segmentation model. After the segmentation model training is completed, the brain tumor medical image can be segmented and processed;

[0063] The brain tumor medical image receiving module 2 is used to receive the brain tumor medical image data information to be segmented, wherein the brain tumor medical image data information includes medical PET-CT imaging, multispectral imaging, PET-MRI imaging, multi-resolution optical imaging , Magnetic resonance T1-weighted image (MRT1W), magnetic resonance T1-weighted image (MRT2W) and proton density image (PD), etc. The segmentation objects in brain tumor medical image data information include various target areas such as organs, tissues, cells, and tumors , segmenting the target area is...

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Abstract

The invention relates to the technical field of brain tumor medical image segmentation, in particular to a brain tumor medical image segmentation method based on deep learning, which comprises the steps of training a segmentation model, receiving the to-be-segmented brain tumor medical image data information, performing the segmentation processing on the received to-be-segmented brain tumor medical image data information, and outputting a segmentation result. The brain tumor medical image segmentation system based on deep learning comprises a segmentation model training module, a brain tumor medical image receiving module, a brain tumor medical image segmentation processing module and a segmentation result output module. According to the medical brain tumor image segmentation method basedon deep learning, deep learning training is carried out on the segmentation model, the segmentation model trained through deep learning carries out segmentation processing on the received medical brain tumor image data information to be segmented, the segmentation result is accurate, and the problem that a traditional manual segmentation method is time-consuming and labor-consuming is solved.

Description

technical field [0001] The present invention relates to the technical field of brain tumor medical image segmentation, in particular to a method, system and electronic equipment for brain tumor medical image segmentation based on deep learning. Background technique [0002] Brain tumor medical image segmentation technology is a key technology in brain tumor medical image processing and analysis. Brain tumor medical image segmentation is a process of separating relevant structures (or regions of interest) in the image according to the similarity within the region and the difference between regions. The early image segmentation was completely done manually. The complete manual segmentation method is that medical experts manually delineate the boundaries on hundreds of slice images, and conceive the three-dimensional structure of the lesion and its surrounding tissues and Spatial relationships, and use this as the basis for developing a treatment plan. [0003] The traditiona...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10
Inventor 仲伟峰李志刘燕
Owner HARBIN UNIV OF SCI & TECH
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