nuc-resunet-setup-56 / metadata.json
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{
"model_name": "nuc_resunet_setup_56",
"model_type": "ResUNet3DValid",
"framework": "torch",
"spatial_dims": 3,
"in_channels": 1,
"out_channels": 1,
"iteration": 350000,
"input_voxel_size": [
128,
128,
128
],
"output_voxel_size": [
128,
128,
128
],
"channels_names": [
"nuc"
],
"input_shape": [
148,
148,
148
],
"output_shape": [
60,
60,
60
],
"inference_input_shape": [
300,
300,
300
],
"inference_output_shape": [
212,
212,
212
],
"input_normalization": {
"method": "min_max",
"min": -1.0,
"max": 1.0
},
"inference_output_activation": {
"name": "sigmoid",
"apply_after_model": true,
"dim": null
},
"author": "Marwan Zouinkhi",
"description": "Nuclei (nuc) from FIB-SEM at 128 nm, 3D residual U-Net (InstanceNorm, valid convs), exp_mito setup_56 at 350000 iterations. Valid convolutions (88 voxels of context per axis); outputs raw logits. ONNX web version: cellmap/onnx-web-models/setup_56.",
"version": "1.0.0",
"format_version": "1"
}