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Medical open network for AI (MONAI) is an open-source, community-supported framework for Deep learning (DL) in healthcare imaging. MONAI provides a collection of domain-optimized implementations of various DL algorithms and utilities specifically designed for medical imaging tasks.
Drishti (from Sanskrit दृष्टि dr̥ṣţi, meaning "vision" or "insight") is a multi-platform, open-source volume-exploration and presentation tool. [1] Written for visualizing tomography data, electron-microscopy data and the like, it aims to ease understanding of data sets and to assist with conveying that understanding to the research community or to lay persons.
Regardless, there are a number of general purpose tomographic reconstruction software packages that have been developed over the last couple decades, both commercial and open-source. Most of the commercial software packages that are available for purchase focus on processing data for benchtop cone-beam CT systems.
Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [52] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [53]
Mango (Multi-Image Analysis GUI) 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.
For X-ray microtomography, powerful open source software is available, such as the ASTRA toolbox. [ 8 ] [ 9 ] The ASTRA Toolbox is a MATLAB and python toolbox of high-performance GPU primitives for 2D and 3D tomography, from 2009 to 2014 developed by iMinds-Vision Lab , University of Antwerp and since 2014 jointly developed by iMinds-VisionLab ...
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Synopsys Simpleware ScanIP is a 3D image processing and model generation software program developed by Synopsys Inc. to visualise, analyse, quantify, segment and export 3D image data from magnetic resonance imaging (MRI), computed tomography (CT), microtomography and other modalities for computer-aided design (CAD), finite element analysis (FEA), computational fluid dynamics (CFD), and 3D ...