Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet

arXiv:2308.03001v2 Announce Type: replace-cross
Abstract: Accurate identification and quantification of unruptured intracranial aneurysms (UIAs) is crucial for the risk assessment and treatment of this cerebrovascular disorder. Current 2D manual assessment on 3D magnetic resonance angiography (MRA) is suboptimal and time-consuming. In addition, one major issue in medical image segmentation is the need for large well-annotated data, which can be expensive to obtain. Techniques that mitigate this requirement, such as weakly supervised learning with coarse labels are highly desirable. In the …

abstract arxiv assessment cs.cv current eess.iv identification issue major medical novel quantification risk risk assessment segmentation treatment type unet