Pulmonary lobe segmentation method based on full convolutional neural network
A convolutional neural network, lung lobe technology, applied in the field of lung lobe segmentation based on full convolutional neural network, can solve the problems of difficult segmentation, long processing time, strong dependence, etc., to achieve higher accuracy, better segmentation results, lower false positive effect
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[0017] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0018] figure 1 This is a flowchart of a lung lobe segmentation method provided by an embodiment of the present invention. The main steps include: constructing the lung lobe segmentation data set; obtaining the 3D bounding box of the lung organs; preprocessing the data in the 3D bounding box of the lungs; inputting the data block into the fully convolutional neural network for training; importing the data block Input to the trained network...
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