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Deep Learning in Biological Image and Signal Processing [From the Guest Editors]
IEEE Signal Processing Magazine ( IF 9.4 ) Pub Date : 2022-02-24 , DOI: 10.1109/msp.2021.3134525
Erik Meijering 1 , Vince D. Calhoun 2 , Gloria Menegaz 3 , David J. Miller 4 , Jong Chul Ye 5
Affiliation  

Biological research on the fundamental structural and functional properties of life—from molecules to cells, tissues, organs, and complete organisms, including human life—relies heavily on advanced imaging systems and measurement devices generating data of ever-increasing quantity and complexity. Automated processing and analysis of these data through increasingly sophisticated computational methods have become indispensable in exploiting relevant information and enabling researchers to detect patterns that may be unnoticeable to human senses.

中文翻译:


生物图像和信号处理中的深度学习 [来自客座编辑]



对生命基本结构和功能特性(从分子到细胞、组织、器官和完整有机体,包括人类生命)的生物学研究在很大程度上依赖于先进的成像系统和测量设备,生成数量和复杂性不断增加的数据。通过日益复杂的计算方法对这些数据进行自动处理和分析,对于利用相关信息并使研究人员能够检测人类感官可能无法察觉的模式已变得不可或缺。
更新日期:2022-02-24
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