chexnet: CheXNet: Radiologist-Level Pneumonia Detection on Chest...

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Description

ANTsXNet reproduction of https://arxiv.org/pdf/1711.05225.pdf. This includes our own network architecture and training (including data augmentation).

Includes a network for checking the correctness of image orientation, i.e., flipped left-right, up-down, or both.

Disease categories: Atelectasis Cardiomegaly Consolidation Edema Effusion Emphysema Fibrosis Hernia Infiltration Mass No Finding Nodule Pleural Thickening Pneumonia Pneumothorax

Usage

chexnet(
  image,
  lungMask = NULL,
  checkImageOrientation = FALSE,
  useANTsXNetVariant = TRUE,
  antsxnetCacheDirectory = NULL,
  verbose = FALSE
)

Arguments

image	input 3-D lung image.
lungMask	ANTsImage. If None is specified, one is estimated.
checkImageOrientation	Check the correctness of image orientation, i.e., flipped left-right, up-down, or both. If TRUE, attempts to correct before prediction.
antsxnetCacheDirectory	destination directory for storing the downloaded template and model weights. Since these can be resused, if is.null(antsxnetCacheDirectory), these data will be downloaded to the subdirectory ~/.keras/ANTsXNet/.
verbose	print progress.

Value

classification scores for each of the 14 categories.

Author(s)

Tustison NJ

Examples

## Not run: 
library( ANTsRNet )

## End(Not run)

ANTsX/ANTsRNet documentation built on April 23, 2024, 1:24 p.m.