% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/radiomics_slice.R
\name{radiomics_slice}
\alias{radiomics_slice}
\title{Radiomic Calculation on CT Slices}
\usage{
radiomics_slice(
  img,
  mask,
  sides = c("right", "left"),
  plane = "axial",
  featuresFirst = c("mean", "sd", "skew", "kurtosis", "min", "q1", "median", "q3",
    "max", "energy", "rms", "uniformity", "entropy"),
  featuresSpatial = c("mi", "gc", "fd"),
  tidy = TRUE,
  reduce = TRUE
)
}
\arguments{
\item{img}{CT scan in ANTs image file format}

\item{mask}{Mask of CT scan in ANTs image file format}

\item{sides}{Choose to calculate radiomic features on the right and/or left lungs. Note: Right lung = 1, left lung = 2, non-lung = 0}

\item{plane}{One of: axial, coronal, sagittal}

\item{featuresFirst}{First level radiomic features to calculate}

\item{featuresSpatial}{Spatial radiomic features to calculate}

\item{tidy}{Logical. If true, outputs a tidy dataframe with results. If false, outputs nested loop.}

\item{reduce}{Logical. If true, reduces the dimensions of the scan based on extent of mask using reduce_scan.}
}
\value{
Radiomic values from every slice in both the right and left lungs
}
\description{
Calculate radiomic features on the each 2D slice of the whole 3D lung, right and left lungs separately
}