Abstract
Biomedical image reconstruction research has been developed for more than five decades, giving rise to various techniques such as central and filtered back projection. With the rise of deep learning technology, biomedical image reconstruction field has undergone a massive paradigm shift from analytical and iterative methods to deep learning methods To drive scientific discussion on advanced deep learning techniques for biomedical image reconstruction, a workshop focusing on deep biomedical image reconstruction, MLMIR, is introduced and is being held yearly since 2018. This survey paper is aimed to provide basic knowledge in biomedical image reconstruction and the current research trend in biomedical image reconstruction based on the publications in MLMIR. This survey paper is intended for machine learning researchers to grasp a general understanding of the biomedical image reconstruction field and the current research trend in deep biomedical image reconstruction.
Abstract (translated)
生物医学图像重建研究已经持续了几十年,产生了各种技术,例如中心和滤波后投影。随着深度学习技术的发展,生物医学图像重建领域已经经历了巨大的范式转变,从分析迭代方法到深度学习方法。为了推动关于生物医学图像重建高级深度学习技术的科学讨论,我们引入了一个专注于深层生物医学图像重建的研讨会,名为MLMIR,自2018年以来每年举办一次。本调查 paper 旨在基于MLMIR发表的出版物提供生物医学图像重建的基础知识和当前研究趋势。本调查 paper 旨在使机器学习研究人员了解生物医学图像重建领域的一般理解以及深层生物医学图像重建当前的研究趋势。
URL
https://arxiv.org/abs/2301.11813
