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Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration
April 12, 2024, 4:46 a.m. | Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman
cs.CV updates on arXiv.org arxiv.org
Abstract: Whole brain segmentation with magnetic resonance imaging (MRI) enables the non-invasive measurement of brain regions, including total intracranial volume (TICV) and posterior fossa volume (PFV). Enhancing the existing whole brain segmentation methodology to incorporate intracranial measurements offers a heightened level of comprehensiveness in the analysis of brain structures. Despite its potential, the task of generalizing deep learning techniques for intracranial measurements faces data availability constraints due to limited manually annotated atlases encompassing whole brain and …
arxiv brain cs.cv eess.iv hierarchical integration segmentation transformers type
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