
Leveraging semi-supervised learning approaches and managing imperfect annotations can significantly improve the performance of cerebrovascular segmentation models.


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guidelines-for-improving-cerebrovascular-segmentation-through-semi-supervised-learning-and-annotation-quality-management


Guidelines for Improving Cerebrovascular Segmentation through Semi-Supervised Learning and Annotation Quality Management


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The core message of this article is to propose a 3D cerebrovascular segmentation method called CV-AttentionUNet that utilizes attention mechanisms and deep supervision to accurately extract brain vessel images from enhanced TOF-MRA data.


cerebrovascular-segmentation-of-enhanced-tof-mra-images-using-attention-based-3d-unet


Cerebrovascular Segmentation of Enhanced TOF-MRA Images using Attention-based 3D UNet
