Open Source Objective C Medical Software
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Objective C Medical Software
View 2677 business solutionsBrowse free open source Objective C Medical Software and projects below. Use the toggles on the left to filter open source Objective C Medical Software by OS, license, language, programming language, and project status.
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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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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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Business Automation Software for SMBsThe only software you need to increase cash flow, optimize resource utilization, and take control of your assets and inventory.
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The project has moved to GitHub: https://github.com/pixmeo/osirix
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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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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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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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iCorelab is an integrated image management system for clinical trials with a primary endpoint of performing blinded image assessments.
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