CT image feature extraction method and device, electronic equipment and storage medium

Abstract

The invention provides a CT image feature extraction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining feature weight parameters of a sample image sequence of a sample CT image based on a feature extraction model; extracting CT image features based on the feature weight parameters, wherein the feature extraction model is obtained by performing comparative learning on a sample image sequence pair of the sample CT image and a sample optical flow graph corresponding to the sample image sequence pair. According to the invention, the feature extraction model obtained through comparison learning can learn the general expression form of the sample image sequence of the unlabeled sample CT image on the image, and when the CT image features are extracted based on the feature weight parameters of the feature extraction model, universal features capable of expressing the essence of the CT image can be rapidly and accurately extracted from the CT image of which the features are to be extracted, so that the problems of large manual annotation amount and long period in a traditional method can be avoided.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a CT image feature extraction method, device, electronic equipment and storage medium. Background technique [0002] Image feature extraction is to use computer to extract image information to determine whether each image point belongs to an image feature. The result of feature extraction is to divide the points on the image into different subsets, which often belong to isolated points, continuous curves or continuous areas. [0003] Image feature extraction is a primary operation in image processing, that is to say, it is the first operation processing on an image. It examines each pixel to determine if that pixel represents a feature. If it's part of a larger algorithm, the algorithm typically only examines feature regions of the image. As a prerequisite operation for feature extraction, the input image is generally smoothed in scale space by a Gaussian blur...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a CT image feature extraction method, device, electronic equipment and storage medium, which are used to solve the defects of low model training efficiency caused by the large workload of feature extraction model labeling in the prior art

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