Search Results for "objective c"
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Showing 10 open source projects for "objective c"
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A radiology teaching library for OS X 10.7 and later. Browse and search for cases. Import and export from MIRC. Export to Keynote. Project moved to BitBucket.
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RadioAnatomy
New dimensions in interactive training of radiological anatomy
Relying on existing image collections such as the Visible Human (VHP), this project would provide an interactive teaching tool professionals and students that need training in interpretation of radiology anatomy from tomographic imaging techniques. -
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The project has moved to GitHub: https://github.com/pixmeo/osirix
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Human Machine integration for vessel segmentation has as main objective finding precise methods for the segmentation of blood vessels in retinal images, with the main goal of improving screening and diagnosis procedures.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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CoactivationMap is a graphic user interface to browse through a map of functional co-activations of the human brain. Click on a region, and observe which other regions are likely to be connected
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GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.
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QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
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iRad is a DICOM workstation written in Cocoa for MacOSX. Using QuickTime, OpenGL, and open source databases iRad aims to provide an easy and efficient way to review medical images from CT, MRI, ultrasound, and other DICOM sources such as angiography a
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iCorelab is an integrated image management system for clinical trials with a primary endpoint of performing blinded image assessments.
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