Merge pull request #51 from FETS-AI/itct_connectivity_updates

Itct connectivity updates

Author: sarthakpati

docs/_config.yaml

@@ -10,4 +10,6 @@ navigation:
   - title: Run the Application
     url: runningApplication
   - title: Extras
-    url: extras
+    url: extras
+  - title: ITCR Connectivity
+    url: itcr_connectivity

docs/itcr_connectivity.md

@@ -0,0 +1,51 @@
+This section includes a reference of all ongoing and existing connections between FeTS and other projects funded under the [Informatics Technology for Cancer Research (ITCR)](https://itcr.cancer.gov/) program.
+
+A connectivity map featuring all ITCR projects can be found [here](https://www.ndexbio.org/#/network/04c0a7e8-af92-11e7-94d3-0ac135e8bacf).
+
+<!-- vscode-markdown-toc -->
+* [Existing Connections](#ExistingConnections)
+	* [DCMTK](#DCMTK)
+	* [DCMQI](#DCMQI)
+	* [CaPTk](#CaPTk)
+	* [Synapse PACS](#SynapsePACS)
+	* [TCIA and IDC](#TCIAandIDC)
+* [Ongoing Development](#OngoingDevelopment)
+	* [XNAT](#XNAT)
+	* [FLAIM](#FLAIM)
+	* [PRISM](#PRISM)
+
+<!-- vscode-markdown-toc-config
+	numbering=true
+	autoSave=true
+	/vscode-markdown-toc-config -->
+<!-- /vscode-markdown-toc -->
+
+##  1. <a name='ExistingConnections'></a>Existing Connections
+
+###  1.1. <a name='DCMTK'></a>DCMTK
+FeTS uses [DCMTK - DICOM ToolKit (DCMTK)](https://dicom.offis.de/dcmtk.php.en) for DICOM file handling. 
+
+###  1.2. <a name='DCMQI'></a>DCMQI
+FeTS leverages [DICOM for Quantitative Imaging (DCMQI)](http://qiicr.org/dcmqi-guide/tutorials/intro.html) for generating DICOM-Seg files from NIfTI files. 
+
+###  1.3. <a name='CaPTk'></a>CaPTk
+FeTS leverages the [Cancer Imaging Phenomics Toolkit (CaPTk)](https://www.med.upenn.edu/cbica/captk) for integrating CaPTk's current functionality into FeTS. 
+
+###  1.4. <a name='SynapsePACS'></a>Synapse PACS
+FeTS' performance evaluation metrics are used by [Synapse PACS](https://www.synapse.org/).  
+
+###  1.5. <a name='TCIAandIDC'></a>TCIA and IDC
+Enriching [The Cancer Imaging Archive (TCIA)](https://www.cancerimagingarchive.net/) and [Imaging Data Commons (IDC)](https://datacommons.cancer.gov/repository/imaging-data-commons) data collections with segmentations and radiomic features. Robustness analysis on radiomic features on TCIA data has also been posted back to TCIA.
+
+##  2. <a name='OngoingDevelopment'></a>Ongoing Development
+
+###  2.1. <a name='XNAT'></a>XNAT
+Use FeTS' federated learning functionality for data discovery through [XNAT](https://xnat.org) features through its feature extraction functionality. 
+
+###  2.2. <a name='FLAIM'></a>FLAIM
+Interoperability and privacy preservation algorithmic comparison. 
+
+###  2.3. <a name='PRISM'></a>PRISM
+Federated learning for segmentation of PRISM data.
+
+Contact [contact [at] fets.ai](mailto:contact@fets.ai) with any questions.