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  • Displaying 16 results
    NVIDIA
    NVIDIA
    monai_spleen_ct_segmentation
    A pre-trained model for volumetric (3D) segmentation of the spleen from CT image.
      Model
      NVIDIA
      NVIDIA
      DIGITS
      The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists.
        Container
        NVIDIA
        NVIDIA
        Getting Start with U-Net Industrial
        NVIDIA pre-trained U-Net model is adapted from the original version of the U-Net model which is a convolutional auto-encoder for 2D image segmentation.
        Resource
        NVIDIA
        NVIDIA
        TAO Pretrained Semantic Segmentation
        Pretrained weights to facilitate transfer learning using Transfer Learning Toolkit.
        Model
        NVIDIA
        NVIDIA
        monai_brats_mri_segmentation
        A pre-trained model for volumetric (3D) segmentation of brain tumor subregions from multimodal MRIs based on BraTS 2018 data.
          Model
          NVIDIA
          NVIDIA
          monai_wholebody_ct_segmentation
          A pre-trained SegResNet model for volumetric (3D) segmentation of the 104 whole body segments.
            Model
            NVIDIA
            NVIDIA
            TAO Pretrained Instance Segmentation
            Pretrained weights to facilitate transfer learning using TAO Toolkit.
            Model
            NVIDIA
            NVIDIA
            monai_swin_unetr_btcv_segmentation
            A pre-trained model for volumetric (3D) multi-organ segmentation from CT image.
              Model
              NVIDIA
              NVIDIA
              monai_endoscopic_tool_segmentation
              A pre-trained model for the endoscopic tool segmentation task.
                Model
                NVIDIA
                NVIDIA
                monai_pathology_nuclei_segmentation_classification
                A simultaneous segmentation and classification of nuclei within multitissue histology images based on CoNSeP data.
                  Model
                  NVIDIA
                  NVIDIA
                  monai_pancreas_ct_dints_segmentation
                  A neural architecture search algorithm for volumetric (3D) segmentation of the pancreas and pancreatic tumor from CT image.
                    Model
                    NVIDIA
                    NVIDIA
                    Bi3D Proximity Segmentation
                    Bi3D is a binary depth classification network that is used to classify the depth of objects at a given distance.
                      Model
                      NVIDIA
                      NVIDIA
                      monai_vista2d
                      VISTA-2D is a comprehensive training and inference pipeline for cell segmentation in imaging applications.
                        Model
                        NVIDIA
                        NVIDIA
                        monai_vista3d
                        VISTA-3D is a specialized interactive foundation model for 3D medical imaging.
                          Model
                          —
                          TAO Toolkit ODISE 1.1
                          Model to recognise characters from a preceding OCDNet model.
                            Model
                            Matt Robinson
                            Rendered.ai Replicator TAO
                            Jupyter Notebook for training with TAO using Omniverse Replicator sythetic data generated on Rendered.ai.
                              Resource

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