Deep Learning in Biological Image and Signal Processing

Erik Meijering, Vince D. Calhoun, Gloria Menegaz, David J. Miller, Jong Chul Ye

Research output: Contribution to journalEditorialpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)24-26
Number of pages3
JournalIEEE Signal Processing Magazine
Volume39
Issue number2
DOIs
StatePublished - Mar 1 2022

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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