🔮 My Personal Open Source'rer Profile
-
Updated
May 31, 2024
Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis, and medical intervention.
🔮 My Personal Open Source'rer Profile
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Website for NA-MIC Project Weeks
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
Surgical Image Guidance and Healthcare Toolkit
3D medical imaging reconstruction software
DICOM Web Viewer: open source zero footprint medical image library.
A platform for end-to-end development of machine learning solutions in biomedical imaging
A generalizable application framework for segmentation, regression, and classification using PyTorch
DICOM Viewer
Framework for the reproducible processing of neuroimaging data with deep learning methods
A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
🧠 A deep learning model that classifies brain images as either having a tumor or not.
Diploma project
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
Main repository for the CCP SynerBI software
Using YOLOV8 model for image processing
Brainchop: In-browser 3D MRI rendering and segmentation