Yeast cell detection in color microscopic images using ROC‐optimized decoloring and segmentation

Author:

Bajla Ivan1ORCID,Teplan Michal1

Affiliation:

1. Institute of Measurement Science Slovak Academy of Sciences Bratislava Slovak Republic

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Teplan M. et al.:Experimental platform for measurement of biological response of cells to weak low frequency magnetic fields. In:International Conference on Bioelectromagnetics BioEM2018 p.101.Bioelectromagnetics Society Frederick(2018)

2. Bajla I. Teplan M.:Microscopic cell image decoloring and segmentation via ROC‐based optimization. In:The Joint Annual Meeting of the Bioelectromagnetics Society and the European BioElectromagnetics Association p.36–39. (2020)

3. Comparison of methods used for assessing the viability and vitality of yeast cells

4. Effect of static magnetic fields on the budding of Yeast cells;Egami S.;Bio‐electromagnetics,2010

5. Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3’-Diaminobenzidine&Haematoxylin

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