文章：

深度学习在神经肿瘤学磁共振图像分析中的应用进展

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

原文发布日期：10 January 2024

DOI: 10.3390/cancers16020300

类型: Article

开放获取: 是

英文摘要：

Machine Learning is entering a phase of maturity, but its medical applications still lag behind in terms of practical use. The field of oncological radiology (and neuro-oncology in particular) is at the forefront of these developments, now boosted by the success of Deep-Learning methods for the analysis of medical images. This paper reviews in detail some of the most recent advances in the use of Deep Learning in this field, from the broader topic of the development of Machine-Learning-based analytical pipelines to specific instantiations of the use of Deep Learning in neuro-oncology; the latter including its use in the groundbreaking field of ultra-low field magnetic resonance imaging.

摘要翻译： 

机器学习正步入成熟阶段，但其在医学领域的实际应用仍相对滞后。肿瘤放射学（尤其是神经肿瘤学）处于这一发展的前沿，得益于深度学习在医学影像分析中的成功应用，该领域正迎来新的发展机遇。本文详细回顾了深度学习在该领域的最新进展，从基于机器学习的分析流程开发这一广泛主题，到深度学习在神经肿瘤学中的具体应用实例；后者包括其在超低场磁共振成像这一突破性领域的应用。

原文链接：

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology