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Medical image segmentation model training method, medium and electronic equipment

A technology for segmenting models and medical images, which is applied in the field of training, can solve problems such as difficult training, and achieve the effects of avoiding insufficient training, good training effect, and saving video memory

Inactive Publication Date: 2021-12-24
杭州普健医疗科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the training process of the medical image segmentation model, especially in the training process of the 3D medical image segmentation model, it is usually difficult to directly input the medical image into the medical image segmentation model according to the original size due to the limitation of the GPU memory size. to train

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  • Medical image segmentation model training method, medium and electronic equipment
  • Medical image segmentation model training method, medium and electronic equipment
  • Medical image segmentation model training method, medium and electronic equipment

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Embodiment Construction

[0041] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0042] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and size of the compon...

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Abstract

The invention provides a medical image segmentation model training method, a medium and electronic equipment. The method comprises the steps that first-stage training is carried out on the medical image segmentation model, and the first-stage training comprises multiple rounds of training; and second-stage training is carried out on the medical image segmentation model to complete training of the medical image segmentation model, and the second-stage training comprises multiple rounds of training. According to the method, the common samples and the difficult samples can be directly utilized to complete training of the medical image segmentation model.

Description

technical field [0001] The invention relates to a training method, in particular to a training method, medium and electronic equipment of a medical image segmentation model. Background technique [0002] With the continuous development of artificial intelligence technology, using AI-based medical image segmentation models to process medical images and assist doctors in diagnosis has become a common method in related fields. The medical image segmentation model needs to be trained before practical application in order to obtain the ability to process medical images. However, the size of medical images is often relatively large. For example, the size of a liver CT image is usually 512×512. However, in the training process of the medical image segmentation model, especially in the training process of the 3D medical image segmentation model, it is usually difficult to directly input the medical image into the medical image segmentation model according to the original size due to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06T7/10
CPCG06N3/08G06T7/10G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30056
Inventor 丁元顾静军吴磊周公敢
Owner 杭州普健医疗科技有限公司