MCount uses a combination of contour-based and region-based information to accurately count merged colonies. حسب Sijie Chen (1622476)

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pone.0311242.g007 - MCount: An automated colony counting tool for high-throughput microbiology حسب Sijie Chen (1622476)

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The Polygon Approximation Algorithm uses turning points on the contour to represent an inscribed polygon, where d controls how many turning points are generated. حسب Sijie Chen (1622476)

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Distribution of average recognition error rates on the benchmark dataset when repeatedly implementing the hyperparameter-tuning method using <i>n</i> labeled images 1000 times. حسب Sijie Chen (1622476)

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S4 Fig - حسب Sijie Chen (1622476)

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The need for a more powerful colony counting algorithm. حسب Sijie Chen (1622476)

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Comparison of MCount ( and ) and NICE performance in recognizing colony segments and sub-images. حسب Sijie Chen (1622476)

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S3 Fig - حسب Sijie Chen (1622476)

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Summary of hyperparameter optimization methods used in MCount. The table includes the method number, image type (labeled or unlabeled), number of images used for optimization, hype... حسب Sijie Chen (1622476)

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Distribution of average recognition error rates on 96 images with equidispersion when repeatedly implementing the hyperparameter-tuning method using <i>n</i> unlabeled images 1000... حسب Sijie Chen (1622476)

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A dataset that includes colony segments, labeled using historical photographs, is used to optimize and evaluate the performance of MCount. حسب Sijie Chen (1622476)

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MCount has two adjustable hyperparameters, <i>d</i> and <i>λ</i>, which control the contour fineness and constrain the circle number, respectively. حسب Sijie Chen (1622476)

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