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Fix tcia_utils issues loading metadata df to support latest v3.2.1 release return values (SeriesInstanceUID). #2046

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Merged
merged 7 commits into from
Nov 5, 2025
Merged

Fix tcia_utils issues loading metadata df to support latest v3.2.1 release return values (SeriesInstanceUID). #2046

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00f3362
Fixed dependency issues with itkwidgets
kirbyju Sep 24, 2024
6e36c64
Revert "Fixed dependency issues with itkwidgets"
kirbyju Oct 3, 2024
06f8ed7
Updates setup requirements
kirbyju Oct 4, 2024
e830df5
Revert "Updates setup requirements"
kirbyju Oct 5, 2024
3b567b3
Merge branch 'Project-MONAI:main' into main
kirbyju Oct 30, 2025
ebe86ed
Update TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb
kirbyju Oct 31, 2025
1341ba7
Justin Kirby <2379527+kirbyju@users.noreply.github.com>
kirbyju Nov 5, 2025
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12 changes: 5 additions & 7 deletions model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -119,7 +119,7 @@
"!python -m pip install pydicom\n",
"\n",
"# Install tcia_utils to download the datasets.\n",
"!python -m pip install --upgrade -q tcia_utils\n",
"!python -m pip install --upgrade -q tcia_utils==3.2.1\n",
"\n",
"\n",
"# This is the installation required for itkWidgets.\n",
Expand Down Expand Up @@ -245,7 +245,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"metadata": {
"id": "7wR4HJu-emJP"
},
Expand All @@ -254,7 +254,7 @@
"dicom_data_dir = \"tciaDownload\"\n",
"\n",
"# The series_uid defines their directory where the MR data was stored on disk.\n",
"mr_series_uid = df.at[df.Modality.eq(\"MR\").idxmax(), \"Series ID\"]\n",
"mr_series_uid = df.at[df.Modality.eq(\"MR\").idxmax(), \"SeriesInstanceUID\"]\n",
"mr_dir = os.path.join(dicom_data_dir, mr_series_uid)\n",
"\n",
"# Read the DICOM MR series' objects and reconstruct them into a 3D ITK image.\n",
Expand All @@ -272,7 +272,7 @@
"outputs": [],
"source": [
"# The series_uid defines where the SEG was stored on disk. It is stored in a single file.\n",
"seg_series_uid = df.at[df.Modality.eq(\"SEG\").idxmax(), \"Series ID\"]\n",
"seg_series_uid = df.at[df.Modality.eq(\"SEG\").idxmax(), \"SeriesInstanceUID\"]\n",
"seg_dir = os.path.join(dicom_data_dir, seg_series_uid)\n",
"seg_file = glob.glob(os.path.join(seg_dir, \"*.dcm\"))[0]\n",
"\n",
Expand Down Expand Up @@ -730,9 +730,7 @@
},
{
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"application/javascript": [
"window.connectPlugin && window.connectPlugin(\"7ba53bd6-ca11-4e56-a0dd-f80199194b50\")"
],
"application/javascript": "window.connectPlugin && window.connectPlugin(\"7ba53bd6-ca11-4e56-a0dd-f80199194b50\")",
"text/plain": [
"<IPython.core.display.Javascript object>"
]
Expand Down
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