add swin_unetr btcv tutorial

Signed-off-by: ahatamizadeh <[email protected]>

Author: ahatamiz

3d_segmentation/unetr_btcv_segmentation_3d.ipynb

@@ -52,9 +52,7 @@
     "1. large organs: spleen, liver, stomach. \n",
     "2. Smaller organs: gallbladder, esophagus, kidneys, pancreas. \n",
     "3. Vascular tissues: aorta, IVC, P&S Veins. \n",
-    "4. Glands: left and right adrenal gland\n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/main/3d_segmentation/unetr_btcv_segmentation_3d_lightning.ipynb)"
+    "4. Glands: left and right adrenal gland"
    ]
   },
   {
@@ -446,12 +444,12 @@
     "            [\n",
     "                LoadImaged(keys=[\"image\", \"label\"]),\n",
     "                AddChanneld(keys=[\"image\", \"label\"]),\n",
+    "                Orientationd(keys=[\"image\", \"label\"], axcodes=\"RAS\"),\n",
     "                Spacingd(\n",
     "                    keys=[\"image\", \"label\"],\n",
     "                    pixdim=(1.5, 1.5, 2.0),\n",
     "                    mode=(\"bilinear\", \"nearest\"),\n",
     "                ),\n",
-    "                Orientationd(keys=[\"image\", \"label\"], axcodes=\"RAS\"),\n",
     "                ScaleIntensityRanged(\n",
     "                    keys=[\"image\"],\n",
     "                    a_min=-175,\n",
@@ -503,12 +501,12 @@
     "            [\n",
     "                LoadImaged(keys=[\"image\", \"label\"]),\n",
     "                AddChanneld(keys=[\"image\", \"label\"]),\n",
+    "                Orientationd(keys=[\"image\", \"label\"], axcodes=\"RAS\"),\n",
     "                Spacingd(\n",
     "                    keys=[\"image\", \"label\"],\n",
     "                    pixdim=(1.5, 1.5, 2.0),\n",
     "                    mode=(\"bilinear\", \"nearest\"),\n",
     "                ),\n",
-    "                Orientationd(keys=[\"image\", \"label\"], axcodes=\"RAS\"),\n",
     "                ScaleIntensityRanged(\n",
     "                    keys=[\"image\"],\n",
     "                    a_min=-175,\n",