Add a VolView example

Author: bnmajor

notebooks/IDC_segmentation_primer.ipynb

@@ -6151,6 +6151,15 @@
         "\n",
         "* You can follow [this tutorial](https://tinyurl.com/idc-ohif-gcp) to deploy your own instance of the OHIF Viewer and follow instructions to create a DICOM store in GCP to visualize your own segmentation results.\n",
         "* You can launch a GCP virtual machine configured with 3D Slicer following [this tutorial](https://learn.canceridc.dev/cookbook/virtual-machines/idc-desktop), copy datasets of interest to the VM and experiment with the visualization and analysis tools of 3D Slicer.\n",
+        "* You can also visit the [VolView webapp](https://volview.netlify.app/) and simply drag-and-drop a manifest file. VolView provides 3D, cinematic rendering in your browser and can be used with just a few minor adjustments to the manifest file:\n",
+        "    ```python\n",
+        "        volview_manifest = {\"resources\": []}\n",
+        "        for url in selection_df[\"gcs_url\"]:\n",
+        "            volview_manifest[\"resources\"].append({\"url\": url})\n",
+        "        with open(f'{idc_download_folder}/volview_manifest.json', 'w') as fp:\n",
+        "          json.dump(volview_manifest, fp)\n",
+        "    ```\n",
+        "  Then download the file to your local filesystem to drag-and-drop!\n",
         "\n",
         "## I want to train my network, not run inference\n",
         "\n",