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
%0 Journal Article
%1 noauthororeditor
%A Mohamad, Noor Amaleena
%A Jusoh, Noorain Awang
%A Htike, Zaw Zaw
%A Win, Shoon Lei
%D 2014
%J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
%K Bacilli Bacteria Bayes Cocci Identification Learning Machine Naïve Vibrio
%N 2
%P 12
%R 10.5121/ijscai.2014.3201
%T Bacteria Identification From Microscopic Morphology: A Survey
%U http://airccse.org/journal/ijscai/papers/3214ijscai01.pdf
%V 3
%X 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
@article{noauthororeditor,
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},
added-at = {2018-01-19T05:11:16.000+0100},
author = {Mohamad, Noor Amaleena and Jusoh, Noorain Awang and Htike, Zaw Zaw and Win, Shoon Lei},
biburl = {https://www.bibsonomy.org/bibtex/2399c6053840ab1c74e9e494a5c6aaa5a/leninsha},
doi = {10.5121/ijscai.2014.3201},
interhash = {a16dd151d6360c35b6c842110f8ad4e7},
intrahash = {399c6053840ab1c74e9e494a5c6aaa5a},
issn = {2319 - 1015},
journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)},
keywords = {Bacilli Bacteria Bayes Cocci Identification Learning Machine Naïve Vibrio},
language = {English},
month = may,
number = 2,
pages = 12,
timestamp = {2018-01-19T05:11:16.000+0100},
title = {Bacteria Identification From Microscopic Morphology: A Survey },
url = {http://airccse.org/journal/ijscai/papers/3214ijscai01.pdf},
volume = 3,
year = 2014
}