MLPerf Inference 3D-Unet reference models on KiTS19 dataset

3D-Unet reference models trained on KiTS19 dataset for MLPerf Inference. See MLPerf Inference GitHub repository for instructions about how to run these models. Link: https://github.com/mlcommons/inference/tree/r1.1/medical_imaging/3d-unet-kits19

Related Organizations

Institut de Chirurgie Guidée par l’Image de Strasbourg
France
Intel (United States)
United States

Keywords

MLPerf-Inference, 3D-UNet, KiTS19

12 Research products, page 1 of 2

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit
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Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation
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Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset
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Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge
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Ensemble U‐net‐based method for fully automated detection and segmentation of renal masses on computed tomography images
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A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation
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