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"authors" : " MONAI team" ,
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"copyright" : " Copyright (c) MONAI Consortium" ,
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"data_source" : " Task09_Spleen.tar from http://medicaldecathlon.com/" ,
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- "data_type" : " dicom " ,
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+ "data_type" : " nibabel " ,
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"image_classes" : " single channel data, intensity scaled to [0, 1]" ,
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"label_classes" : " single channel data, 1 is spleen, 0 is everything else" ,
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"pred_classes" : " 2 channels OneHot data, channel 1 is spleen, channel 0 is background" ,
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"inputs" : {
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"image" : {
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"type" : " image" ,
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- "format" : " magnitude" ,
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+ "format" : " hounsfield" ,
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+ "modality" : " CT" ,
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"num_channels" : 1 ,
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"spatial_shape" : [
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- 160 ,
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- 160 ,
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- 160
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+ 96 ,
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+ 96 ,
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+ 96
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],
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"dtype" : " float32" ,
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"value_range" : [
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0 ,
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1
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],
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- "is_patch_data" : false ,
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+ "is_patch_data" : true ,
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"channel_def" : {
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"0" : " image"
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}
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"outputs" : {
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"pred" : {
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"type" : " image" ,
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- "format" : " segmentation" ,
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+ "format" : " hounsfield" ,
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+ "modality" : " CT" ,
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"num_channels" : 2 ,
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"spatial_shape" : [
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- 160 ,
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- 160 ,
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- 160
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+ 96 ,
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+ 96 ,
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+ 96
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],
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"dtype" : " float32" ,
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"value_range" : [
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0 ,
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1
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],
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- "is_patch_data" : false ,
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+ "is_patch_data" : true ,
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"channel_def" : {
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"0" : " background" ,
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"1" : " spleen"
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