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arXiv · 2108.02482

MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds

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

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Marta Girones Sanguesa, Denis Kutnar, Bas H. M. van der Velden, Hugo J. Kuijf. 2021-08-05. MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds. https://arxiv.org/abs/2108.02482

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