Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations. (arXiv:2112.01797v3 [eess.IV] UPDATED)

Web: http://arxiv.org/abs/2112.01797

Computed Tomography Angiography is a key modality providing insights into the
cerebrovascular vessel tree that are crucial for the diagnosis and treatment of
ischemic strokes, in particular in cases of large vessel occlusions (LVO).
Thus, the clinical workflow greatly benefits from an automated detection of
patients suffering from LVOs. This work uses convolutional neural networks for
case-level classification trained with elastic deformation of the vessel tree
segmentation masks to artificially augment training data. Using only masks as
the input to …

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