National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Analysis of training dataset influence on the efficiency of segmentation
Benešovská, Veronika ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
Microbial structures are present in every living organism, so it is important to classify them for subsequent research of their origin and function. Bruker, s.r.o is developing the MBT Pathfinder for this purpose, which automates the transfer of colonies to MALDI plates, where the subsequent analysis of the sample takes place. Transferred colonies can be selected manually or using an algorithm that ensures automatic colony segmentation. This algorithm must be learned on a training set, which has huge influence on its accuracy. This work deals with measuring the influence of a dataset on the accuracy of this learning algorithm.
Analysis of training dataset influence on the efficiency of segmentation
Benešovská, Veronika ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
Microbial structures are present in every living organism, so it is important to classify them for subsequent research of their origin and function. Bruker, s.r.o is developing the MBT Pathfinder for this purpose, which automates the transfer of colonies to MALDI plates, where the subsequent analysis of the sample takes place. Transferred colonies can be selected manually or using an algorithm that ensures automatic colony segmentation. This algorithm must be learned on a training set, which has huge influence on its accuracy. This work deals with measuring the influence of a dataset on the accuracy of this learning algorithm.

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