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- W3188057412 abstract "Cerebral microbleeds are small, dark, round lesions that can be visualised on T2*-weighted MRI or other sequences sensitive to susceptibility effects. In this work, we propose a multi-stage approach to both microbleed detection and segmentation. First, possible microbleed locations are detected with a Mask R-CNN technique. Second, at each possible microbleed location, a simple U-Net performs the final segmentation. This work used the 72 subjects as training data provided by the Where is VALDO? challenge of MICCAI 2021." @default.
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- W3188057412 date "2021-08-05" @default.
- W3188057412 modified "2023-09-26" @default.
- W3188057412 title "MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds." @default.
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