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Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations
March 26, 2024, 4:48 a.m. | Ruige Zong, Tao Wang, Chunwang Li, Xinlin Zhang, Yuanbin Chen, Longxuan Zhao, Qixuan Li, Qinquan Gao, Dezhi Kang, Fuxin Lin, Tong Tong
cs.CV updates on arXiv.org arxiv.org
Abstract: Familial cerebral cavernous malformation (FCCM) is a hereditary disorder characterized by abnormal vascular structures within the central nervous system. The FCCM lesions are often numerous and intricate, making quantitative analysis of the lesions a labor-intensive task. Consequently, clinicians face challenges in quantitatively assessing the severity of lesions and determining whether lesions have progressed. To alleviate this problem, we propose a quantitative statistical framework for FCCM, comprising an efficient annotation module, an FCCM lesion segmentation module, …
analysis arxiv assessment cerebral cs.cv disease eess.iv quantitative quantitative analysis type
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