Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.01 vteřin. 
Image-Based Clustering of Microbial Colonies
Láncoš, Jan ; Kišš, Martin (oponent) ; Beneš, Karel (vedoucí práce)
In-lab analysis of microbial colonies grown on Petri dishes is on the frontier of efforts for total laboratory automation. The core of this issue lies in precise localization of the colonies during image analysis. The state of the art solutions often employ machine learning models. However, these models tend to be heavily reliant on existence of quality labels which leads to a data scarcity problem. The proposed thesis addresses this issue by creation of a sample generator. The robustness of the proposed solution was corroborated by successfully applying the generator both in our segmentation and colony clustering efforts, significantly raising the F1 segmentation score from 0.518 to 0.729 and achieving a subsequent V-measure clustering score of 0.830. This approach to generating synthetic data brings us one step closer towards total laboratory automation.

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