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Tensorflow framework was used to train the model and the experiment detection achieves good results. In the validation experiment, the sensitivity and specificity of the improved SegNet model in the segmentation of left ventricular MRI were 0.889, 0.965, Dice coefficient was 0.878, Jaccard coefficient was 0.955, and Hausdorff distance was 10.163mm, showing good segmentation effect. The segmentation accuracy of the deep learning model developed in this paper can meet the requirements of most clinical medicine applications, and provides te
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