From e6163a690b285ccdd3f15363f210db1c99ee4a26 Mon Sep 17 00:00:00 2001 From: Sarthak Pati Date: Thu, 31 Aug 2023 10:09:26 -0400 Subject: [PATCH] Update itcr_connectivity.md --- docs/itcr_connectivity.md | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/docs/itcr_connectivity.md b/docs/itcr_connectivity.md index 954a61a2..46a88086 100644 --- a/docs/itcr_connectivity.md +++ b/docs/itcr_connectivity.md @@ -4,9 +4,11 @@ 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). - [Existing Connections](#existing-connections) + - [OpenFL](#openfl) + - [GaNDLF](#gandlf) + - [CaPTk](#captk) - [DCMTK](#dcmtk) - [DCMQI](#dcmqi) - - [CaPTk](#captk) - [Synapse PACS](#synapse-pacs) - [TCIA and IDC](#tcia-and-idc) - [Ongoing Development](#ongoing-development) @@ -14,17 +16,23 @@ A connectivity map featuring all ITCR projects can be found [here](https://www.n - [FLAIM](#flaim) - [PRISM](#prism) -## Existing Connections +## Existing Connections -### DCMTK -FeTS uses [DCMTK - DICOM ToolKit (DCMTK)](https://dicom.offis.de/dcmtk.php.en) for DICOM file handling. +### OpenFL +FeTS leverages the [Open Federated Learning library (OpenFL)](https://github.com/securefederatedai/openfl) for enabling federated machine learning of models. -### DCMQI -FeTS leverages [DICOM for Quantitative Imaging (DCMQI)](http://qiicr.org/dcmqi-guide/tutorials/intro.html) for generating DICOM-Seg files from NIfTI files. +### GaNDLF +FeTS leverages the [Generally Nuanced Deep Learning Framework (GaNDLF)](https://gandlf.org/) for enabling advanced preprocessing and deep learing based training. ### CaPTk FeTS leverages the [Cancer Imaging Phenomics Toolkit (CaPTk)](https://www.med.upenn.edu/cbica/captk) for integrating CaPTk's current functionality into FeTS. +### DCMTK +FeTS uses [DCMTK - DICOM ToolKit (DCMTK)](https://dicom.offis.de/dcmtk.php.en) for DICOM file handling. + +### DCMQI +FeTS leverages [DICOM for Quantitative Imaging (DCMQI)](http://qiicr.org/dcmqi-guide/tutorials/intro.html) for generating DICOM-Seg files from NIfTI files. + ### Synapse PACS FeTS' performance evaluation metrics are used by [Synapse PACS](https://www.synapse.org/). @@ -42,4 +50,4 @@ Interoperability and privacy preservation algorithmic comparison. ### PRISM Federated learning for segmentation of PRISM data. -Contact [contact [at] fets.ai](mailto:contact@fets.ai) with any questions. \ No newline at end of file +Contact [contact [at] fets.ai](mailto:contact@fets.ai) with any questions.