The Circle of Willis (CW) is a system of arteries located at the base of the brain. Its structure is a key component in different cerebrovascular diseases, though quantifying this on MR images is meticulous and labor intensive. We developed an analysis pipeline that uses a convolutional neural network to do multilabel segmentation of the CW as viewed through TOF-MRA images. Results show that this approach can automatically locate and label the CW with the same accuracy as expert human annotators.
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