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- W2017048401 abstract "The objective of the current study is to develop an automatic tool to identify bacterial types using computer-vision and statistical modeling techniques. Bacteriophage (phage)-typing methods are used to identify and extract representative profiles of bacterial types, such as the Staphylococcus Aureus. Current systems rely on the subjective reading of plaque profiles by human expert. This process is time-consuming and prone to errors, especially as technology is enabling the increase in the number of phages used for typing. The statistical methodology presented in this work, provides for an automated, objective and robust analysis of visual data, along with the ability to cope with increasing data volumes." @default.
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- W2017048401 date "2003-05-16" @default.
- W2017048401 modified "2023-09-23" @default.
- W2017048401 title "Automatic identification of bacterial types using statistical imaging methods" @default.
- W2017048401 doi "https://doi.org/10.1117/12.481156" @default.
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