diff --git a/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb b/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb index 351ef703c..2d70a13d5 100644 --- a/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb +++ b/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb @@ -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", @@ -245,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "id": "7wR4HJu-emJP" }, @@ -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", @@ -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", @@ -730,9 +730,7 @@ }, { "data": { - "application/javascript": [ - "window.connectPlugin && window.connectPlugin(\"7ba53bd6-ca11-4e56-a0dd-f80199194b50\")" - ], + "application/javascript": "window.connectPlugin && window.connectPlugin(\"7ba53bd6-ca11-4e56-a0dd-f80199194b50\")", "text/plain": [ "" ]