Hill, LaPan, Li and Haney (2007) develop models to predict which cells in a high content screen were well segmented.
The data consists of 119 imaging measurements on 2019. The original analysis used 1009 for training and 1010 as a test set (see the column called Case).
The outcome class is contained in a factor variable called Class with levels "PS" for poorly segmented and "WS" for well segmented.
Usage
data(segmentationData)
Arguments
Value
segmentationDatadata frame of cells
source
Hill, LaPan, Li and Haney (2007). Impact of image segmentation on high-content screening data quality for SK-BR-3 cells,
BMC Bioinformatics, Vol. 8, pg. 340, http://www.biomedcentral.com/1471-2105/8/340.