A multivariate n-class segmentation algorithm.
Usage
ni_ants_atropos(
initialization,
intensity_images,
mask_image,
number_of_tissue_classes,
args = NULL,
dimension = 3,
icm_use_synchronous_update = NULL,
likelihood_model = NULL,
mrf_smoothing_factor = NULL,
n_iterations = NULL,
out_classified_image_name = NULL,
posterior_formulation = NULL,
use_random_seed = TRUE,
.cwd = NULL,
.env = NULL,
.engine = NULL,
.profile = NULL,
dry_run = FALSE,
echo = interactive()
)Arguments
- initialization
Character; one of: "Random", "Otsu", "KMeans", "PriorProbabilityImages", "PriorLabelImage" Required.
- intensity_images
Character or numeric vector Required.
- mask_image
Character; file path Required.
- number_of_tissue_classes
Integer Required.
- args
Character. Additional parameters to the command
- dimension
Character; one of: "3", "2", "4". image dimension (2, 3, or 4)
- icm_use_synchronous_update
Logical
- likelihood_model
Character
- mrf_smoothing_factor
Numeric
- n_iterations
Integer
- out_classified_image_name
Character; file path
- posterior_formulation
Character
- use_random_seed
Logical. use random seed value over constant
- .cwd
Working directory override.
- .env
Named character vector of environment variables.
- .engine
Execution engine override.
- .profile
Runtime profile override.
- dry_run
Logical; preview command without executing.
- echo
Logical; echo stdout/stderr in real time.