getPretrainedNetwork: getPretrainedNetwork

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

getPretrainedNetwork

Description

Downloads pretrained network/weights.

Usage

getPretrainedNetwork(
  fileId = c("show", "antsxnetWmh", "antsxnetWmhOr", "arterialLesionWeibinShi",
    "brainAgeGender", "brainAgeFmrib", "brainAgeDeepBrainNet", "brainExtraction",
    "brainExtractionT1", "brainExtractionT1v1", "brainExtractionRobustT1",
    "brainExtractionT2", "brainExtractionRobustT2", "brainExtractionRobustT2Star",
    "brainExtractionFLAIR", "brainExtractionRobustFLAIR", "brainExtractionBOLD",
    "brainExtractionRobustBOLD", "brainExtractionFA", "brainExtractionMra",
    "brainExtractionRobustFA", "brainExtractionNoBrainer", 
    
    "brainExtractionInfantT1T2", "brainExtractionInfantT1", "brainExtractionInfantT2",
    "brainExtractionBrainWeb20", "brainExtractionT1Hemi", "brainExtractionT1Lobes",
    "brainSegmentation", "brainSegmentationPatchBased", "bratsStage1", "bratsStage2",
    "cerebellumWhole", "cerebellumTissue", "cerebellumLabels", "claustrum_axial_0",
    "claustrum_axial_1", "claustrum_axial_2", "claustrum_coronal_0",
    "claustrum_coronal_1", "claustrum_coronal_2", "ctHumanLung", "dbpn4x", "deepFlash",
    "deepFlashLeftT1", "deepFlashRightT1", 
     "deepFlashLeftBoth",
    "deepFlashRightBoth", "deepFlashLeftT1Hierarchical", "deepFlashRightT1Hierarchical",
    "deepFlashLeftBothHierarchical", "deepFlashRightBothHierarchical",
    "deepFlashLeftT1Hierarchical_ri", "deepFlashRightT1Hierarchical_ri",
    "deepFlashLeftBothHierarchical_ri", "deepFlashRightBothHierarchical_ri",
    "deepFlash2LeftT1Hierarchical", "deepFlash2RightT1Hierarchical", "deepFlashLeft8",
    "deepFlashRight8", "deepFlashLeft16", "deepFlashRight16", "deepFlashLeft16new",
    "deepFlashRight16new", 
     "denoising", "dktInner", "dktOuter",
    "dktOuterWithSpatialPriors", "DesikanKillianyTourvilleOuter",
    "HarvardOxfordAtlasSubcortical", "ex5_coronal_weights", "ex5_sagittal_weights",
    "allen_brain_mask_weights", "functionalLungMri", "hippMapp3rInitial",
    "hippMapp3rRefine", "hyperMapp3r", "hypothalamus",
    "inpainting_sagittal_rmnet_weights", "inpainting_coronal_rmnet_weights",
    "inpainting_axial_rmnet_weights", "inpainting_axial_rmnet_flair_weights",
    "inpainting_coronal_rmnet_flair_weights", "inpainting_sagittal_rmnet_flair_weights",
    
     "koniqMBCS", "koniqMS", "koniqMS2", "koniqMS3", "lesion_whole_brain",
    "lungCtWithPriorsSegmentationWeights", "maskLobes", "mriSuperResolution",
    "mriModalityClassification", "mraVesselWeights_160", "mouseMriBrainExtraction",
    "mouseT2wBrainExtraction3D", "mouseT2wBrainParcellation3DNick",
    "mouseT2wBrainParcellation3DTct", "mouseSTPTBrainParcellation3DJay",
    "pvs_shiva_t1_0", "pvs_shiva_t1_1", "pvs_shiva_t1_2", "pvs_shiva_t1_3",
    "pvs_shiva_t1_4", "pvs_shiva_t1_5", "pvs_shiva_t1_flair_0", "pvs_shiva_t1_flair_1", 

        "pvs_shiva_t1_flair_2", "pvs_shiva_t1_flair_3", "pvs_shiva_t1_flair_4",
    "wmh_shiva_flair_0", "wmh_shiva_flair_1", "wmh_shiva_flair_2", "wmh_shiva_flair_3",
    "wmh_shiva_flair_4", "wmh_shiva_t1_flair_0", "wmh_shiva_t1_flair_1",
    "wmh_shiva_t1_flair_2", "wmh_shiva_t1_flair_3", "wmh_shiva_t1_flair_4",
    "protonLungMri", "protonLobes", "pulmonaryArteryWeights", "pulmonaryAirwayWeights",
    "sixTissueOctantBrainSegmentation", "sixTissueOctantBrainSegmentationWithPriors1",
    "sixTissueOctantBrainSegmentationWithPriors2", 
     "sysuMediaWmhFlairOnlyModel0",
    "sysuMediaWmhFlairOnlyModel1", "sysuMediaWmhFlairOnlyModel2",
    "sysuMediaWmhFlairT1Model0", "sysuMediaWmhFlairT1Model1",
    "sysuMediaWmhFlairT1Model2", "tidsQualityAssessment", "xrayLungOrientation",
    "xrayLungExtraction", "chexnetClassificationModel",
    "chexnetClassificationANTsXNetModel", "tb_antsxnet_model",
    "wholeHeadInpaintingFLAIR", "wholeHeadInpaintingPatchBasedT1",
    "wholeHeadInpaintingPatchBasedFLAIR", "wholeTumorSegmentationT2Flair",
    "wholeLungMaskFromVentilation", 
     "DeepAtroposHcpT1Weights",
    "DeepAtroposHcpT1T2Weights", "DeepAtroposHcpT1FAWeights",
    "DeepAtroposHcpT1T2FAWeights",
    "sig_smallshort_train_1x1x2_1chan_featgraderL6_best_mdl",
    "sig_smallshort_train_1x1x2_1chan_featvggL6_best_mdl",
    "sig_smallshort_train_1x1x3_1chan_featgraderL6_best_mdl",
    "sig_smallshort_train_1x1x3_1chan_featvggL6_best_mdl",
    "sig_smallshort_train_1x1x4_1chan_featgraderL6_best_mdl",
    "sig_smallshort_train_1x1x4_1chan_featvggL6_best_mdl",
    "sig_smallshort_train_1x1x6_1chan_featvggL6_best_mdl", 
    
    "sig_smallshort_train_2x2x2_1chan_featgraderL6_best_mdl",
    "sig_smallshort_train_2x2x2_1chan_featvggL6_best_mdl",
    "sig_smallshort_train_2x2x4_1chan_featgraderL6_best_mdl",
    "sig_smallshort_train_2x2x4_1chan_featvggL6_best_mdl"),
  targetFileName
)

Arguments

fileId	one of the permitted file ids or pass "show" to list all valid possibilities. Note that most require internet access to download.
targetFileName	optional target filename

Value

filename string

Note

See https://figshare.com/authors/Nick_Tustison/441144 or https://figshare.com/authors/Brian_Avants/418551 for some more descriptions

Author(s)

Avants BB

Examples

## Not run: 
net <- getPretrainedNetwork( "dbpn4x" )

## End(Not run)

ANTsX/ANTsRNet documentation built on Feb. 19, 2025, 11:22 p.m.