diff --git a/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb b/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb
index f1dc6f0e5f..08d8746568 100644
--- a/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb
+++ b/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb
@@ -116,17 +116,17 @@
"!python -c \"import cv2\" || pip install -q opencv-python-headless\n",
"\n",
"# These are the libraries used to read DICOM Seg objects.\n",
- "!python -m pip install -q pydicom pydicom-seg\n",
- "\n",
- "# Install tcia_utils to download the datasets.\n",
- "!python -m pip install --upgrade -q --no-deps tcia_utils\n",
+ "!python -m pip install -q \"pydicom==2.4.4\" pydicom-seg\n",
"\n",
"# Install the dependency manually to avoid installing opencv-python.\n",
- "!python -m pip install -q plotly bs4 ipywidgets unidecode jsonschema\n",
+ "!python -m pip install -q plotly bs4 unidecode\n",
"!python -m pip install -q --no-deps rt-utils\n",
"\n",
+ "# Install tcia_utils to download the datasets.\n",
+ "!python -m pip install --upgrade -q --no-deps tcia_utils\n",
+ "\n",
"# This is the installation required for itkWidgets.\n",
- "!python -m pip install --upgrade --pre -q \"itkwidgets[all]==1.0a23\" imjoy_elfinder"
+ "!python -m pip install --upgrade -q \"itkwidgets[all]==1.0a53\" imjoy_elfinder"
]
},
{
@@ -422,61 +422,7 @@
"id": "RF4LqDs-emJR",
"tags": []
},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
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- {
- "data": {
- "text/plain": [
- ""
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"view(image=mr_image_prep, label_image=seg_image_prep)"
]
@@ -553,56 +499,12 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": null,
"metadata": {
"id": "9bmgCBL9emJS",
"tags": []
},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- " 
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- " \n",
- " "
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- "text/plain": [
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- "metadata": {},
- "output_type": "display_data"
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- {
- "data": {
- "application/javascript": "window.connectPlugin && window.connectPlugin(\"f2c5a353-92e5-49ea-8f0a-4a5232883799\")",
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- {
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- ""
- ],
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"# View the image with results overlaid in an interactive 2D slice viewer.\n",
"viewer_b = view(image=mr_image_prep, label_image=result_image_resampled)"
@@ -626,56 +528,12 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": null,
"metadata": {
"id": "2wHOPVkWemJS",
"tags": []
},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
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- "application/javascript": "window.connectPlugin && window.connectPlugin(\"f2c5a353-92e5-49ea-8f0a-4a5232883799\")",
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- ""
- ],
- "text/plain": [
- ""
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- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"result_array = itk.GetArrayViewFromImage(result_image_resampled)\n",
"expert_array = itk.GetArrayViewFromImage(seg_image_prep)\n",
@@ -749,9 +607,9 @@
"provenance": []
},
"kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "monai",
"language": "python",
- "name": "python3"
+ "name": "monai"
},
"language_info": {
"codemirror_mode": {
@@ -767,5 +625,5 @@
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}