TensorBoardPlugin3D is an open-source TensorBoard plugin that supports visualizing 3D output within the TensorBoard application, JupyterLab, Google Colab, and SageMaker.
Install the PyPI package:
pip install tensorboard-plugin-3dThe Spleen Segmentation 3D tutorial shows how to integrate MONAI into an existing PyTorch medical DL program and demonstrates using TensorBoardPlugin3D to view an image with a label to show the input data (shown in the first image) or to compare the model output with the input.
Get started with a quick view of the output data with the cached notebook. 
The UNet Segmentation 3D Ignite notebook provides a simple, fast-running notebook with demo data. If you're looking for a quick way to get started and see the plugin in action this is a great place to start. 
The BRATS Segmentation 3D notebook demonstrates brain tumor 3D segmentation with MONAI. The tutorial shows how to construct a training workflow of multi-labels segmentation task.
Get started with a quick view of the output data with the cached notebook.
See the documentation for a guide on getting started.
