lungPulmonaryArterySegmentation: Pulmonary artery segmentation.

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Pulmonary artery segmentation.

Description

Perform pulmonary artery segmentation. Training data taken from the PARSE2022 challenge (Luo, Gongning, et al. "Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge." https://arxiv.org/abs/2304.03708).

Usage

lungPulmonaryArterySegmentation(
  ct,
  lungMask = NULL,
  predictionBatchSize = 16,
  patchStrideLength = 32,
  verbose = FALSE
)

Arguments

ct	input 3-D ct image.
lungMask	input binary lung mask which defines the patch extraction. If not supplied, one is estimated.
predictionBatchSize	Control memory usage for prediction. More consequential for GPU-usage.
patchStrideLength	3-D vector or int. Dictates the stride length for accumulating predicting patches.
verbose	print progress.

Value

Probability image.

Author(s)

Tustison NJ

Examples

## Not run: 
library( ANTsRNet )
library( keras )


## End(Not run)

ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.