small fixes

Author: fedorov

notebooks/collections_demos/nlm_visible_human_project.ipynb

@@ -23,7 +23,7 @@
         "* metadata accompanying VHD is searchable\n",
         "* image files are available from either Google Cloud Platform or AWS buckets, and can be downloaded efficiently at any level (e.g., as the entire collection, or individual DICOM series)\n",
         "\n",
-        "The IDC release of the VHD dataset includes both the radiology (CT and MR) and digitized cryosections images for both Visible Male and Visible Female. As part of data harmonization, images were converted into standard DICOM representation (from the original proprietary GE Signa format and PNG for the radiology and cryosection images, respectively), while maintaining the acquisition metadata in standard DICOM fields. Cryosection images are available as External Camera Photography (XC) modality DICOM series.\n",
+        "The IDC release of the VHD dataset includes both the radiology (CT and MR) and digitized cryosections images for both Visible Male and Visible Female. As part of data harmonization, images were converted into standard DICOM representation (from the original [proprietary GE Signa format](https://discourse.slicer.org/t/visible-human-project-mri-dataset-loading/8034/) and PNG for the radiology and cryosection images, respectively), while maintaining the acquisition metadata in standard DICOM fields. Cryosection images are available as External Camera Photography (XC) modality DICOM series.\n",
         "\n",
         "In this notebook we demonstrate interoperability and visualization of DICOM XC cryosection images using off-the-shelf open source tools.\n",
         "\n",
@@ -71,7 +71,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": null,
       "metadata": {
         "id": "IIwrQVHB1VXK",
         "outputId": "ede99bc5-e56a-44dd-aff3-013eca005db1",
@@ -143,7 +143,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -177,7 +177,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "id": "Olb_XnznSwje"
       },
@@ -221,7 +221,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1036,7 +1036,7 @@
         "# download the file\n",
         "!./s5cmd --no-sign-request --endpoint-url https://s3.amazonaws.com cp {sample_url} .\n",
         "\n",
-        "image = load_vhd_xc_slice(\"./\"+sample_url.split(\"/\")[-1])\n",
+        "image = load_dicom_xc_slice(\"./\"+sample_url.split(\"/\")[-1])\n",
         "\n",
         "fig1 = plt.figure(figsize = (20,20))\n",
         "ax1 = fig1.add_subplot()\n",