TY - GEN
T1 - MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
AU - Girones Sanguesa, Marta
AU - Kutnar, Denis
AU - van der Velden, Bas
AU - Kuijf, Hugo
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
U2 - 10.48550/arXiv.2108.02482
DO - 10.48550/arXiv.2108.02482
M3 - Conference contribution
BT - "Where is VALDO?" challenge, MICCAI 2021
ER -