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Dicom Image Reader is opensource medical image viewer built with JavaScript, HTML5, NodeJS and Electron framework. It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 =============== Alternative software for Windows: Available on Ecwid - https://goo.gl/twBcAq =============== Android App: https://goo.gl/i4NX9K -------------- Chrome app Release Pro: https://goo.gl/p456N5

Released August 22, 2013 Lubuntu Blends: Biochemistry 13.04 (Raring) v5.44 Linux Kernel Image 3.8.0-29 Lubuntu Blends are pre-installed Wubi disk image remixes of Ubuntu and Debian Science meta packages, A custom boot loader allows installations to be copied and automatically booted from most external or USB flash drives. Once up and running, use earlier Lubuntu Remix README instructions here until documentation is updated....