CT lymph node detection system based on space-time circulation attention mechanism
A detection system and attention technology, applied in the field of medical image analysis, can solve the problems that the accuracy of analysis needs to be improved
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[0085] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:
[0086] In order to overcome the influence of different lymph node lesion areas and complex backgrounds on the detection results, the system adopts a circular attention mechanism. According to the serialization characteristics of CT images, based on Gaussian kernel function and mixed density network, the model integrates two dimensions of space and slice visual attention process. Furthermore, the predicted spatio-temporal attention locations are constrained using the prior distribution of lesion region locations.
[0087] In conjunction with the accompanying drawings, a CT lymph node detection system based on the spatio-temporal cycle attention mechanism includes a training sample extraction module, a deep feature extraction network, a feature embedding network and a spatio-temporal cycle attention target detection module, a...
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