Medical image segmentation method and device based on multi-modal subspace clustering

Abstract

The invention discloses a medical image segmentation method and device based on multi-modal subspace clustering, and the method comprises the steps: 1, obtaining an original medical image, and carrying out the preprocessing; 2, performing convolution and pooling on the original medical image preprocessed in the step 1 through a convolutional neural network, and converting the original medical image into a linear feature matrix of the original medical image; 3, constructing a model based on a self-supervision multi-modal depth subspace clustering method, and carrying out model training; performing spectral clustering on the linear feature matrix of the original medical image obtained in the step 2 by using a trained self-supervised multi-modal depth subspace clustering method model to obtain clustered medical feature data; and 4, processing the medical feature data clustered in the step 3 to pixels the same as those of the original medical image through deconvolution and up-sampling ofa convolutional neural network to obtain a segmented medical image. The method is good in complex medical image segmentation effect and high in precision.

Description

technical field

[0001] The invention relates to the technical field of medical image segmentation, in particular to a medical image segmentation method and device based on multimodal subspace clustering. Background technique

[0002] Medical magnetic resonance (MR) images are widely used in clinical medical diagnosis and research due to their advantages of high contrast, high resolution, and multi-directional. In order to effectively extract key information in images, image segmentation has become an essential link in medical image processing. However, medical image data often have high dimensions and heterogeneous features of various attributes (modalities), among which high-dimensional data generally contain more redundant features, using the existing threshold image segmentation method, edge detection image Traditional image segmentation methods such as segmentation method and regional image segmentation are not only time-consuming but often difficult to achieve good seg...

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