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

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