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Mango - short for Multi-image Analysis GUI - is a viewer for medical research images. It provides analysis tools and a user interface to navigate image volumes. Versions There are three versions of Mango, each geared for a different platform: Mango - Desktop - Mac OS X, Windows, and Linux Papaya - Browser - Firefox, Chrome, Safari and IE
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Mango supports several image layouts within a viewer. The default layout for tomographic images has three orthogonal 2-D section images, one as a large view and the other two as smaller views (Figure 3). By default the larger view displays an axial section (x-y) and the two smaller views display coronal (x-z) and sagittal (y-z) views.
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Papaya is a pure JavaScript medical research image viewer, supporting DICOM and NIFTI formats, compatible across a range of web browsers. This orthogonal viewer supports overlays, atlases, GIFTI & VTK surface data and DTI data.
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Mango (Multi-image Analysis GUI) is a viewer for medical research images. Mango contains analysis tools and a GUI to navigate image volumes. Mango also comes with the following command-line utilities: mango (loads image), mango-applytransform (applies transform to image), mango-convert2avw (converts to AVW format), mango-convert2des (converts.
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Research Imaging Institute — Mango Image Menu This menu manages image operations. Image Calculator. This will open the viewer's Image Calculator . Make Statistical Image from Time-series. If a time-series is loaded, this option can be used to make an image based on the statistics of each voxel across time.
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Our advanced platform, Mango Gateway, delivers medical images from your PACS system or even your CT scanner directly to your clients with Mango Patient Viewer, an intuitive and secure cloud-based solution that not only provides easy access to the latest medical images and reports but also to historic images processed by our powerful solution.
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I Do Imaging is the place to find free and open source medical imaging software. Here you'll find nearly 300 software projects, categorized, ranked, and searchable. We're constantly adding new applications, updating existing ones, listing version updates, and removing defunct projects.
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Mango (Multi-Image Analysis GUI) is a viewer for biomedical research images developed by Jack Lancaster and Michael Martinez. It provides analysis tools and a user interface to navigate image volumes. Mango is available as desktop, web, or iPad applications.
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Mango is a viewer for medical research images. It provides analysis tools and a user interface to navigate image volumes. There are three versions of Mango, each geared for a different platform: * Mango - Desktop - Mac OS X, Windows, and Linux * webMango - Browser - Safari, Firefox, Chrome, and Internet Explorer * iMango - Mobile - Apple iPad
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Our Dicom Viewer is not for medical usage: IDV is not a medical device and is not FDA or CE. IMAIOS Dicom Viewer (IDV) is a free online dicom viewer browsing your medical images from computer, cd or dvd, and delivering lightning-fast 2D rendering previews highly optimized for any desktop device.
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Mango ( M ulti-Image An alysis G UI) is a non-commercial software for viewing, editing and analyzing volumetric medical images. Mango is written in Java, and distributed freely in precompiled versions for Linux, Mac OS and Microsoft Windows. It supports NIfTI, ANALYZE, NEMA and DICOM formats and is able to load and save 2D, 3D and 4D images.
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IrfanView. Yes, that IrfanView, the simple free image viewer you may have downloaded in the early 90s to view .gifs, .tiffs, and other image files now supports DICOM viewing. It is provided as freeware for non-commercial use, so if you want to use it in your medical practice you'll need to register it and pay a one time, $12 licensing fee, but if all you want is a lightweight program to view.
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Papaya is a pure JavaScript medical research image viewer, supporting DICOM and NIFTI formats, compatible across a range of web browsers. This orthogonal viewer supports overlays, atlases, GIFTI & VTK surface data and DTI data.
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The mango viewer will provide insight into the different characteristics of each variety, and the rating system will assist in choosing a tree tailored to individual tastes and preferences. The rating for "flavor" takes into consideration fiber content, sweetness, and especially the desire to eat again.
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Mango (Multi-image Analysis GUI) is a viewer for medical research images. It provides analysis tools and a user interface to navigate image volumes. When Mango is started a Toolbox is displayed with basic menus for opening images, setting options, getting help, selecting windows and specific control icons.
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In Mango the focus is on visualization and analysis of 3-D images, so these will be used to provide examples of its display capabilities and analysis procedures. It would be very helpful to use Mango and follow along with these examples while reading.