Update README.md

README.md

@@ -19,6 +19,7 @@ This is a home for notebooks which demonstrate how to access and work with TCIA
 * [TCIA_STL_Visualization_with_itkWidgets.ipynb](https://github.com/kirbyju/TCIA_Notebooks/blob/main/TCIA_STL_Visualization_with_itkWidgets.ipynb) - Shows how to download, convert, and visualize expert annotations and 3D printer models stored in STL format on TCIA for use in training and evaluating AI models.
 
 # Collection-specific Notebooks
+*  [CPTAC.ipynb](https://github.com/kirbyju/TCIA_Notebooks/blob/main/CPTAC/CPTAC.ipynb) - A tutorial on accessing DICOM images and tumor annotations (3d segmentations & seed points) related to the [CPTAC-UCEC](https://doi.org/10.7937/89M3-KQ43) (Corpus Endometrial Carcinoma), [CPTAC-PDA](https://doi.org/10.7937/BW9V-BX61) (Pancreatic Ductal Adenocarcinoma), [CPTAC-CCRCC](https://doi.org/10.7937/SKQ4-QX48) (Clear Cell Renal Carcinoma), and [CPTAC-HNSCC](https://doi.org/10.7937/PFEC-T641) (Head and Neck Squamous Cell Carcinoma) datasets hosted on TCIA
 *  [ACNS0332.ipynb](https://github.com/kirbyju/TCIA_Notebooks/blob/main/ACNS0332/ACNS0332.ipynb) - A tutorial on accessing DICOM images, clinical data, and tumor annotations (3d segmentations & seed points) related to the ["Annotations for Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed, Previously Untreated, High-Risk Medulloblastoma/PNET (ACNS0332-Tumor-Annotations)"](https://doi.org/10.7937/D8A8-6252) dataset hosted on TCIA
 *  [AREN0532.ipynb](https://github.com/kirbyju/TCIA_Notebooks/blob/main/AREN0532/AREN0532.ipynb) - A tutorial on accessing DICOM images, clinical data, and tumor annotations (3d segmentations & seed points) related to the ["Annotations for Vincristine, Dactinomycin, and Doxorubicin With or Without Radiation Therapy or Observation Only in Treating Younger Patients Who Are Undergoing Surgery for Newly Diagnosed Stage I, II, or III Wilms' Tumor (AREN0532-Tumor-Annotations)"](https://doi.org/10.7937/KJA4-1Z76) dataset hosted on TCIA
 *  [AREN0533.ipynb](https://github.com/kirbyju/TCIA_Notebooks/blob/main/AREN0533/AREN0533.ipynb) - A tutorial on accessing DICOM images, clinical data, and tumor annotations (3d segmentations & seed points) related to the ["Annotations for Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor (AREN0533-Tumor-Annotations)"](https://doi.org/10.7937/WFCC-DA41) dataset hosted on TCIA