Cardiovascular image recognition system and method based on whole-heart seven-dimensional model
An image recognition and cardiovascular technology, applied in neural learning methods, biological neural network models, medical images, etc., can solve the problems of high subjective influence of cardiovascular imaging and inaccurate interpretation results, and improve the efficiency and accuracy of image acquisition. , strong compatibility and universality, the effect of ensuring accuracy
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Embodiment 1
[0060] Such as figure 1 As shown, the cardiovascular image recognition system based on the whole-heart seven-dimensional model includes the sequentially connected image data processing subsystem, cloud database and whole-heart seven-dimensional model construction subsystem;
[0061] The image data processing subsystem is used to process the input cardiovascular images to be identified, accurately mark them, and upload them to the cloud database;
[0062] The cloud database is used to store all accurately labeled cardiovascular images;
[0063] The whole-heart seven-dimensional model construction subsystem is used to construct the corresponding whole-heart seven-dimensional model according to the required cardiovascular images in the cloud database, and realize the recognition of the cardiovascular images according to the constructed whole-heart seven-dimensional model.
[0064] The image data processing subsystem in the embodiment of the present invention is a convolutional n...
Embodiment 2
[0068] Such as figure 2 As shown, corresponding to the above-mentioned embodiment 1, the present invention also provides a cardiovascular image recognition method based on the whole-heart seven-dimensional model, comprising the following steps:
[0069] S1. Construct the image data processing subsystem and train it;
[0070] S2. Input the cardiovascular image to be identified into the trained image data processing subsystem, obtain the correctly marked cardiovascular image, and input it into the cloud database;
[0071] S3. Input the correctly labeled cardiovascular images in the cloud database into the trained whole-heart seven-dimensional model building subsystem, and construct a corresponding whole-heart seven-dimensional model for cardiovascular image recognition.
[0072] In step S1 of the embodiment of the present invention, the method for training the image data processing subsystem is as follows: input the manually correctly labeled cardiovascular images into the con...
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