FLEXCONN Model


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Documentation for package ‘flexconn’ version 0.5.3.1

Help Pages

blur_mask Blur Mask and Get Indices for Patches
flexconn_conv_chain FLEXCONN Convolution Chain
flexconn_image_peak Normalize Image Based on the Peak
flexconn_model FLEXCONN Model
flexconn_predict Predict from FLEXCONN model
flexconn_predict_patch Predict from FLEXCONN model
flexconn_predict_with_patches Predict from FLEXCONN model
flexconn_predict_with_volume Predict from FLEXCONN model
get_mask_patches Get Patches from 3D Volume
get_matsize Get Matrix Size to Input to Model
get_num_patches Get Patches from 3D Volume
get_patches Get Patches from T1 and FLAIR image
get_patch_from_volume Get Patches from 3D Volume
get_volume_from_patches Convert Patches to a Volume
image_peak Normalize Image Based on the Peak
invert_pad_image Pad Image
mask_indices Get Mask Indices
normalize_image Normalize Image Based on the Peak
norm_pad Get Patches from 3D Volume
numpy_percentile Python Numpy Percentile
pad_image Pad Image
patches_list Make a patches list for a population of images
patches_to_volume Convert Patches to a Volume
patchsize_to_padsize Patch Size to Pad Size
remove_small_components Remove connected objects with volume <27 voxels
volume_to_patches Convert Volume to Patches