Fully-automatic three-dimensional liver segmentation method based on convolution nerve network
A convolutional neural network, fully automatic technology, used in image analysis, image data processing, instruments, etc., can solve the problems of long segmentation time, low contrast and weak boundaries, over-segmentation, etc., to avoid under-segmentation and over-segmentation, accurate The effect of liver segmentation results
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[0030] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments:
[0031] Provide a new automatic three-dimensional liver segmentation method based on convolutional neural network, which is used to segment abdominal liver CTA (Computed Tomography Angiography) volume data, that is, the liver in the computed tomography angiography image, Including the following processes:
[0032] 1. Prepare the training set;
[0033] 2. Training convolutional neural network;
[0034] 3. Use the trained convolutional neural network to process the abdominal liver CTA volume data to obtain the liver segmentation results.
[0035] The process one specifically includes the following steps:
[0036] Step A: Collect 68 abdominal liver CTA volume data with a size of 512×512×N, and a doctor expert will give the liver segmentation standard results of these data, where N is the number of layers of volume data.
[0037] Step B: Adjust the data size of 2...
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