Multi-pass 3D convolutional neural network segmentation of prostate MRI images
نویسندگان
چکیده
We propose a deep neural network for the segmentation of the prostate in MRI images. The segmentation is performed using a residual fully convolutional neural network. Automatic shape learning is allowed using a Compositional Pattern-Producing Network. Moreover, a multi-pass architecture is designed to foster self-consistent segmentation. The model is trained and tested on the dataset of the challenge PROMISE12.
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تاریخ انتشار 2017