corrected section naming

Author: DanielaSchacherer

notebooks/pathomics/getting_started_with_digital_pathology.ipynb

@@ -69,7 +69,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": null,
       "metadata": {
         "collapsed": true,
         "id": "Y9weWEaezOmg"
@@ -82,7 +82,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "metadata": {
         "id": "YStGX-uGHUQa"
       },
@@ -107,7 +107,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -244,7 +244,7 @@
         "id": "8Ja50OuORgv9",
         "outputId": "3778d0d9-da89-4760-db8a-ae9738f45591"
       },
-      "execution_count": 6,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -563,7 +563,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 7,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -895,7 +895,7 @@
         "id": "zYXInJorSTv9",
         "outputId": "f4b4b58a-0aeb-4718-a784-57f606290d6e"
       },
-      "execution_count": 8,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -965,7 +965,7 @@
           "height": 313
         }
       },
-      "execution_count": 9,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -1432,7 +1432,7 @@
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 10,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -1466,7 +1466,7 @@
           "base_uri": "https://localhost:8080/"
         }
       },
-      "execution_count": 11,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -1490,7 +1490,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 12,
+      "execution_count": null,
       "metadata": {
         "id": "z7U1q-EIL29P"
       },
@@ -1522,7 +1522,7 @@
         "id": "E_q86bgVLzO8"
       },
       "source": [
-        "# Part 2: How to access and read whole-slide images from IDC"
+        "# Part 3: How to access and read whole-slide images from IDC"
       ]
     },
     {
@@ -1536,7 +1536,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 13,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -1572,7 +1572,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 14,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1961,7 +1961,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 15,
+      "execution_count": null,
       "metadata": {
         "id": "E_eQc54DODUi",
         "colab": {
@@ -2092,7 +2092,7 @@
         "id": "0JT6sXgf7RFT"
       },
       "source": [
-        "# Part 3: Application example -- Pre-trained model inference\n",
+        "# Part 4: Application example -- Pre-trained model inference\n",
         "\n",
         "The TCGA-trained model that we use here was made available open source as part of the publication [The NCI Imaging Data Commons as a platform for reproducible research in computational pathology](https://doi.org/10.1016/j.cmpb.2023.107839). The specific model used here is a demo version, meaning that it was trained using slides at reduced magnification (pixel spacing of 0.002 mm/px instead of 0.001 mm/px) and will thus also be applied to slides at this resolution. The model is available as Github release asset and can be retrieved via curl."
       ]