getMRMCdataset {iMRMC}

Import MRMC dataset from the web (https://github.com/DIDSR/iMRMC/wiki/iMRMC-Datasets)

Description

Import MRMC dataset from the web (https://github.com/DIDSR/iMRMC/wiki/iMRMC-Datasets)

Usage

getMRMCdataset(
  dataset = c("pilotHTT", "viperObs", "viperObs365", "viperObs455",
    "MFcounts_dfClassify", "MFcounts_dfCountROI", "MFcounts_dfCountWSI",
    "cardioStudyTruth", "cardioStudyRawData", "prostateTruth", "prostateRawData")
)

Arguments

dataset

Possible dataset options available:

• pilotHTT: Breast cancer annotation data that is the aggregate of all clean data from the HTT project pilot study. https://github.com/DIDSR/HTT

• viperObs: Individual observations of each reader reading each case from the FDA Validation of Imaging Premarket Evaluation and Regulation (VIPER) Study. https://github.com/DIDSR/viperData

• viperObs365: Individual observations of each reader reading each case from the FDA Validation of Imaging Premarket Evaluation and Regulation (VIPER) Study, truth is based on cancer status at 365 days. https://github.com/DIDSR/viperData

• viperObs455: Individual observations of each reader reading each case from the FDA Validation of Imaging Premarket Evaluation and Regulation (VIPER) Study, truth is based on cancer status at 455 days. https://github.com/DIDSR/viperData

• MFcounts_dfClassify: A data frame comparing mitotic figure counting performance based on whole slide images (WSI images) from four scanners to the counts from a microscope, data is per candidate mitotic figure and modality. https://github.com/DIDSR/mitoticFigureCounts/tree/master

• MFcounts_dfCountROI: A data frame comparing mitotic figure counting performance based on whole slide images (WSI images) from four scanners to the counts from a microscope, data is per ROI and modality. https://github.com/DIDSR/mitoticFigureCounts/tree/master

• MFcounts_dfCountWSI: A data frame comparing mitotic figure counting performance based on whole slide images (WSI images) from four scanners to the counts from a microscope, data is per WSI and modality. https://github.com/DIDSR/mitoticFigureCounts/tree/master

• cardioStudyTruth: Cardio CT data comparing display color scale effects on diagnostic performance and reader agreement, ground truth data. https://github.com/DIDSR/colorScaleStudyData

• cardioStudyRawData: Cardio CT data comparing display color scale effects on diagnostic performance and reader agreement, reader data. https://github.com/DIDSR/colorScaleStudyData

• prostateTruth: Prostate MRI data comparing display color scale effects on diagnostic performance and reader agreement, ground truth data. https://github.com/DIDSR/colorScaleStudyData

• prostateRawData: Prostate MRI data comparing display color scale effects on diagnostic performance and reader agreement, reader data. https://github.com/DIDSR/colorScaleStudyData

Value

desired dataset downloaded from the web as a csv

Examples

# Save Prostate MRI ground truth and reader data
truthData <- getMRMCdataset("prostateTruth")
rawData <- getMRMCdataset("prostateRawData")