Titlebook: Cerebral Aneurysm Detection and Analysis; First Challenge, CAD Anja Hennemuth,Leonid Goubergrits,Jan-Martin Kuhni Conference proceedings 20

NAV

https://doi.org/10.1007/978-3-658-42011-6n 3D U-net as the backbone and heavy data augmentation with a carefully chosen loss function. We were able to generalize well using our solution (despite training on a small dataset) that is demonstrated through accurate detection and segmentation on the test data.

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A,-Net: Automatic Detection and Segmentation of Aneurysmn 3D U-net as the backbone and heavy data augmentation with a carefully chosen loss function. We were able to generalize well using our solution (despite training on a small dataset) that is demonstrated through accurate detection and segmentation on the test data.

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ANTI

https://doi.org/10.1007/978-3-658-41661-4 microsurgical clipping or as endovascular intervention including filling of the aneurysm with coils, implantation of flow diverter in the parent vessel or filling the aneurysm with liquid embolic agents. Additionally, imaging is used in long-term follow-up of treated and untreated aneurysms. Imagin