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- Origin: https://github.com/mlcommons/inference/tree/master/vision/medical_imaging/3d-unet-kits19
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- Article: https://arxiv.org/abs/1606.06650
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- ONNX
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datasets:
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- kits2019
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pipeline_tag: image-segmentation
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tags:
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- arxiv:1606.06650
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# 3D U-Net
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- Origin: https://github.com/mlcommons/inference/tree/master/vision/medical_imaging/3d-unet-kits19
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- Article: https://arxiv.org/abs/1606.06650
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## Model
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- ONNX
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- opset: 12
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- operators: 155 (6 types)
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- Concat: 5
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- Producer: 78
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- ReLU: 22
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- Conv: 23
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- ConvTranspose: 5
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- InstanceNormalization: 22
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## KITS 2019 (602x512x512)
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* Opset: 12
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* Source: PyTorch
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- Input:
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- size: \[N,1,128,128,128\]
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- format: NCHWZ
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- Output:
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- size: [N,3,128,128,128]
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