用于多发性硬化症诊断的磁共振图像统一库

Wellington Silveira, Rafael Korb, G. DiMuro, Rodrigo Andrade de Bem
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引用次数: 0

摘要

多发性硬化症是一种自身免疫性疾病,影响中枢神经系统,破坏髓磷脂。为了检测多发性硬化症,你需要进行核磁共振扫描,这样你就能看到髓磷脂受损的区域。由于评估损伤需要时间,这种分析既复杂又昂贵。机器学习的使用是可取的,因为这些考试是定期进行的。然而,与训练深度神经网络所需的数据量相比,文献中包含多发性硬化症患者的公共数据库的数量很少。因此,本工作的目的是加入文献中现有的公共磁共振图像数据库,并提出一个软件库来处理和预处理这些数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UniMRI: Unified Repository of Magnetic Resonance Images for Multiple Sclerosis Diagnosis
Multiple sclerosis is an autoimmune disease that affects the central nervous system, destroying myelin. To detect multiple sclerosis, you need to have MRI scans so you can see the areas where myelin has been damaged. This analysis is complex and costly due to the time required to assess injuries. The use of machine learning is desirable as these exams are taken periodically. However, the number of public databases present in the literature containing patients with multiple sclerosis is small when compared to the amount of data needed to train deep neural networks. Thus, the objective of this work is to join public databases of magnetic resonance images existing in the literature, proposing a software library to manipulate and pre-process these data.
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