MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds

Marta Girones Sanguesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf

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.

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