better toc

Author: sarthakpati

docs/itcr_connectivity.md

@@ -3,50 +3,43 @@ This section includes a reference of all ongoing and existing connections betwee
 
 A connectivity map featuring all ITCR projects can be found [here](https://www.ndexbio.org/#/network/04c0a7e8-af92-11e7-94d3-0ac135e8bacf).
 
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-- [<a name='ExistingConnections'></a>Existing Connections](#existing-connections)
-	- [<a name='DCMTK'></a>DCMTK](#dcmtk)
-	- [<a name='DCMQI'></a>DCMQI](#dcmqi)
-	- [<a name='CaPTk'></a>CaPTk](#captk)
-	- [<a name='SynapsePACS'></a>Synapse PACS](#synapse-pacs)
-	- [<a name='TCIAandIDC'></a>TCIA and IDC](#tcia-and-idc)
-- [<a name='OngoingDevelopment'></a>Ongoing Development](#ongoing-development)
-	- [<a name='XNAT'></a>XNAT](#xnat)
-	- [<a name='FLAIM'></a>FLAIM](#flaim)
-	- [<a name='PRISM'></a>PRISM](#prism)
-
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-
-## <a name='ExistingConnections'></a>Existing Connections
-
-### <a name='DCMTK'></a>DCMTK
+- [Existing Connections](#existing-connections)
+	- [DCMTK](#dcmtk)
+	- [DCMQI](#dcmqi)
+	- [CaPTk](#captk)
+	- [Synapse PACS](#synapse-pacs)
+	- [TCIA and IDC](#tcia-and-idc)
+- [Ongoing Development](#ongoing-development)
+	- [XNAT](#xnat)
+	- [FLAIM](#flaim)
+	- [PRISM](#prism)
+
+##  Existing Connections
+
+### DCMTK
 FeTS uses [DCMTK - DICOM ToolKit (DCMTK)](https://dicom.offis.de/dcmtk.php.en) for DICOM file handling. 
 
-### <a name='DCMQI'></a>DCMQI
+### DCMQI
 FeTS leverages [DICOM for Quantitative Imaging (DCMQI)](http://qiicr.org/dcmqi-guide/tutorials/intro.html) for generating DICOM-Seg files from NIfTI files. 
 
-### <a name='CaPTk'></a>CaPTk
+### CaPTk
 FeTS leverages the [Cancer Imaging Phenomics Toolkit (CaPTk)](https://www.med.upenn.edu/cbica/captk) for integrating CaPTk's current functionality into FeTS. 
 
-### <a name='SynapsePACS'></a>Synapse PACS
+### Synapse PACS
 FeTS' performance evaluation metrics are used by [Synapse PACS](https://www.synapse.org/).  
 
-### <a name='TCIAandIDC'></a>TCIA and IDC
+### 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.
 
-## <a name='OngoingDevelopment'></a>Ongoing Development
+## Ongoing Development
 
-### <a name='XNAT'></a>XNAT
+### XNAT
 Use FeTS' federated learning functionality for data discovery through [XNAT](https://xnat.org) features through its feature extraction functionality. 
 
-### <a name='FLAIM'></a>FLAIM
+### FLAIM
 Interoperability and privacy preservation algorithmic comparison. 
 
-### <a name='PRISM'></a>PRISM
+### PRISM
 Federated learning for segmentation of PRISM data.
 
 Contact [contact [at] fets.ai](mailto:contact@fets.ai) with any questions.