Salim Kanoun's repositories
Orthanc-Tools-JS
New web-based version of Orthanc Tools : GUI and high level DICOMs tools based on Orthanc APIs
Orthanc_Tools
DICOM tools built on Orthanc API in Java
Dicom-To-CNN
Python Library to handle Input / Output conversion in Dicom <=> Convolutional Neural Network
DeepOncology
Deep Learning tools for automatic segmentation of medical images
pyRadiomics_GUI
JAVA GUI for pyRadiomics
moodle_dicomviewer_website
Static Website for Dicom Viewer plugin for Moodle
dicom_decompress
Dicom transcoding for compressed DICOM
Scintigraphy
Open source Scintigraphy programs for ImageJ
calculate-suv
Tiny library for calculating Standardized Uptake Value for Nuclear Medicine (i.e. PET, SPECT)
cornerstone3D
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
fijiPlugins
plugins for Fiji originally developed at Beth Israel hospital
laravel
Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
MOOSE
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
NIFTI-Reader-JS
A JavaScript NIfTI file format reader.
Orthanc4ToolsJS
Builing Osimis/Orthanc derivated image for QNAP
Orthanc_HelloWorld
trying to learn orthanc plugin creation
petctviewer.org
Replacement for petctviewer.org website
ProjectWeek
Website for NA-MIC Project Weeks
SALT
Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.
Scintigraphy_Documentation
Documentation of Scintigraphy
TMTV-Net
This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-FDG PET/CT images, with an emphasis on multi-center generalizability.
TotalSegmentator
Tool for robust segmentation of 104 important anatomical structures in CT images
Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages