Advances in Prokaryote Classification from Microscopic Images

  • Mohamad A
  • A.Jusoh N
  • Htike Z
  • et al.
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Great knowledge and experience on microbiology are required for accurate bacteria identification. Automation of bacteria identification is required because there might be a shortage of skilled microbiologists and clinicians at a time of great need. There have been several attempts to perform automatic background identification. This paper reviews state-of-the-art automatic bacteria identification techniques. This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.

Cite

CITATION STYLE

APA

Mohamad, A., A.Jusoh, N., Htike, Z. Z., & Lei Win, S. (2014). Advances in Prokaryote Classification from Microscopic Images. Electrical & Computer Engineering: An International Journal, 3(2), 13–24. https://doi.org/10.14810/ecij.2014.3202

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free