Implementation of the "HippMapp3r" U-net architecture

Creates a keras model implementation of the u-net architecture described here:

createHippMapp3rUnetModel3D(inputImageSize, doFirstNetwork = TRUE)

Arguments

inputImageSize	Used for specifying the input tensor shape. The shape (or dimension) of that tensor is the image dimensions followed by the number of channels (e.g., red, green, and blue).
doFirstNetwork	boolean dictating if the model built should be the first (initial) network or second (refinement) network.

Value

a u-net keras model

Details

\url{https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.24811}

with the implementation available here:

\url{https://github.com/mgoubran/HippMapp3r}

Author

Tustison NJ

Examples

if (FALSE) {

model1 <- createHippMapp3rUnetModel3D( c( 160, 160, 128, 1 ), doFirstNetwork = TRUE )
model2 <- createHippMapp3rUnetModel3D( c( 112, 112, 64, 1 ), doFirstNetwork = FALSE )

json_config <- model_to_json( model1 )
writeLines( json_config, "/Users/ntustison/Desktop/model1_config.json" )

}