DCM myocardial diagnosis and treatment radiation image segmentation method based on a multi-scale feature pyramid
A multi-scale feature and image segmentation technology, applied in the field of medical image processing, can solve problems such as loss of detailed information, weak ability to extract semantic information, and failure to deal with the multi-scale characteristics of objects, so as to restore boundary information and reduce workload.
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[0079] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0080] In the prior art, multi-scale refers to using multiple CNNs with different convolution kernel sizes to perform feature extraction in parallel.
[0081] The multi-scale of the present invention refers to that after an image is subjected to multi-layer depth separable convolution, then the atrous convolution with different dilation rates is used to perform feature extraction in the way of spatial pyramid pooling.
[0082] The present invention will be further described below in conjunction with specific analysis.
[0083] The present invention utilizes the multi-scale nature of objective objects to design a multi-scal...
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