%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 }