Breast mass segmentation method based on multi-modal feature fusion Vnet
A feature fusion and multi-modal technology, applied in the field of medical image processing, can solve the problems that small lesions cannot be accurately judged, places with too small pixel contrast cannot be well resolved, and the diagnostic accuracy is reduced, so as to avoid incompleteness Sex and active bias, reducing prior knowledge dependence, and improving accuracy
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[0058] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following detailed description is given in conjunction with the accompanying drawings and specific embodiments.
[0059] like figure 1 As shown, the present invention provides a breast mass segmentation method based on multimodal feature fusion Vnet, comprising the following steps:
[0060] S1: A dataset of breast magnetic resonance images and the results of breast tumor segmentation manually marked by doctors, mainly including four different modalities of breast dynamic scan magnetic resonance images, namely dynamic scan phase 1, dynamic scan phase 2, and dynamic scan 4. period, 6 periods of dynamic scanning;
[0061] S2: data preprocessing, dividing the data in the data set;
[0062] S3: Construct a network model based on multimodal feature fusion Vnet;
[0063] S4: Train the network model in step S3, adjust parameters, and obtain the predi...
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