Open Source Medical Software
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Medical Software
View 205 business solutionsBrowse free open source Medical software and projects below. Use the toggles on the left to filter open source Medical software by OS, license, language, programming language, and project status.
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dcm4che is an implementation of DICOM and IHE actors in Java. Homepage: http://www.dcm4che.org, Google Group: http://groups.google.com/group/dcm4che?hl=en, Wiki: http://www.dcm4che.org/confluence, Issue Tracking: http://www.dcm4che.org/jira
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BBMap
BBMap short read aligner, and other bioinformatic tools.
This package includes BBMap, a short read aligner, as well as various other bioinformatic tools. It is written in pure Java, can run on any platform, and has no dependencies other than Java being installed (compiled for Java 6 and higher). All tools are efficient and multithreaded. BBMap: Short read aligner for DNA and RNA-seq data. Capable of handling arbitrarily large genomes with millions of scaffolds. Handles Illumina, PacBio, 454, and other reads; very high sensitivity and tolerant of errors and numerous large indels. Very fast. BBNorm: Kmer-based error-correction and normalization tool. Dedupe: Simplifies assemblies by removing duplicate or contained subsequences that share a target percent identity. Reformat: Reformats reads between fasta/fastq/scarf/fasta+qual/sam, interleaved/paired, and ASCII-33/64, at over 500 MB/s. BBDuk: Filters, trims, or masks reads with kmer matches to an artifact/contaminant file. ...and more! -
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OpenEMR is an open source medical practice management application (EHR EMR PMS) featuring fully integrated electronic health records, scheduling, electronic billing, internationalization, free support, a vibrant community, and a whole lot more.
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OpenMRS
Open source Health IT for the planet
OpenMRS is a community-developed, open source, enterprise electronic medical record system. Our mission is to improve health care delivery in resource-constrained environments by coordinating a global community to creates and support this software. -
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BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. About 50 different data formats are supported.
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Brain Workshop
Python implementation of the Dual N-Back mental exercise
Brain Workshop is a Python implementation of the Dual N-Back mental exercise. This exercise is the only mental activity that has been scientifically shown to improve your short-term memory (working memory) and fluid intelligence. -
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Gnaural
Entrain your brain!
A programmable audio generator intended as an aural aid to meditation, implementing the binaural beat principle as described in Gerald Oster's Oct. 1973 Scientific American article "Auditory Beats in the Brain." -
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Grassroots DICOM
Cross-platform DICOM implementation
Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets. -
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Amide's a Medical Image Data Examiner: Amide is a tool for viewing, registering, and analyzing anatomical and functional volumetric medical imaging data sets.
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C3D is a command-line tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling.
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An evaluation framework for assessing contours generated by segmentation algorithms acting on cardiac magnetic resonance (MR) images. These contours are important for clinical assessment of left ventricular volume and mass.
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OpenCFU
An application to count bacterial colonies and other circular objects
OpenCFU is a completely open source lightweight application designed to enumerate clustered circular objects such as bacterial colonies. It can handle digital pictures as well as live stream from a video device/webcam. OpenCFU is cross-platform, fast, reliable and allows the user to implement intuitive filters. Additional information is provided on the website: http://opencfu.sourceforge.net/ OpenCFU is published on PLoS ONE: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054072 -
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Weasis
Weasis is a web-based DICOM viewer for advanced medical imaging
Weasis is a free, open-source DICOM viewer designed for advanced medical imaging, clinical diagnostics, and research. It operates as a standalone desktop application with web-based integration capabilities. The software supports medical image visualization across multiple modalities, including CT, MRI, ultrasound, and radiography. It integrates with Picture Archiving and Communication Systems (PACS) and healthcare information systems using standard DICOM protocols. Users can perform measurements, annotations, multiplanar reconstructions, and three-dimensional image analysis. Weasis also supports DICOMweb services, secure authentication, and importing and exporting medical imaging studies. Its customizable interface, plugin architecture, and cross-platform compatibility make it suitable for healthcare professionals and medical research institutions. -
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medical image analysis
Libraries and command line tools for medical image processing.
This software provides libraries and command line tools for the processing and analysis of gray scale medical images. -
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IHC Profiler
A plugin for the quantitative analysis of Immunohistochemistry samples
Identification and scoring of cancer markers by Immunohistochemistry has been shown to be of value in determining the aggressiveness of specific cancers, as well as in predicting patient outcome for many cancer types. Despite its routine clinical use, a problem with the standard scoring method is the inherent subjectivity and variability of purely visual inspection. To diminish this visual perception biasing, IHC profiler has been developed as a standard automated scoring tool. -x-x-x-x-x-x-x- Full Publication and Citation: Varghese F, Bukhari AB, Malhotra R, De A (2014) IHC Profiler: An Open Source Plugin for the Quantitative Evaluation and Automated Scoring of Immunohistochemistry Images of Human Tissue Samples. PLoS ONE 9(5): e96801. doi:10.1371/journal.pone.0096801 Link: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0096801 -x-x-x-x-x-x-x- Your feedback would be highly appreciated. Please rate so we can work on improving it further. Thank you! -
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The HAPI HL7v2 project has moved to the following home: https://hapifhir.github.io/hapi-hl7v2/
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Taverna 1.x (archived)
Scientific workflow system
Taverna is *no longer* hosted on SourceForge, but has moved to the Apache Software Foundation: https://taverna.apache.org These pages and mailing list archives are provided for *archival purposes* for older Taverna 1.x releases. See https://taverna.apache.org/download/ for the latest releases from Apache Taverna. -
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TARIS (Tree Analysis and Representation of Isopotential Surfaces) is a software package designed for molecular similarity purposes in the field of Computational Chemistry. Users are allowed to compare molecules through their MEP loading .cube files.
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MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout
MAGeCK2 is here: https://github.com/davidliwei/mageck2 Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. We thank the support from Claudia Adams Barr Program in Innovative Basic Cancer Research and NIH/NHGRI to develop MAGeCK. -
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InVesalius
3D medical imaging reconstruction software
InVesalius is a free, open-source medical imaging application designed for three-dimensional reconstruction from computed tomography and magnetic resonance imaging scans. It converts sequences of two-dimensional DICOM images into detailed anatomical models. The software supports medical image visualization, segmentation, and measurement through an interactive graphical environment. Users can isolate tissues using threshold ranges, watershed segmentation, and manual editing tools. It provides high-quality volume rendering and three-dimensional surface generation for examining anatomical structures. Reconstructed models can be exported in formats such as STL, OBJ, and PLY for further processing or 3D printing. Available for Windows, macOS, and Linux, InVesalius supports medical research, education, and anatomical visualization workflows. -
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radlab
Virtual Radiation Detection and Measurement Laboratory Software
Radiation detection and measurement education is necessary for a wide variety of people working with radiation. The equipment and laboratory setup needed for delivering this education are expensive and difficult to assemble due to the large variety of the type of experiments that are desirable to cover. For a basic education one needs to have gamma, beta, alpha and neutron sources, at least one detector to detect each type of radiation and other supplemental instrumentation to perform experiments. Although the radiation exposure due to these radioactive sources in an education laboratory is low, shielding and a private secured place is needed. Nearly two hundred thousand dollars is needed to construct such a basic laboratory described as above. In order to overcome these difficulties, a model of a basic Radiation Detection Laboratory has been created to provide a virtual environment for designing and simulating such experiments. Team: Dagistan Sahin, Muzaffer Sena Sahin, Korcan Kayrin -
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ezDICOM is a medical viewer for MRI, CT and ultrasound images. It can read images from Analyze, DICOM, GE Genesis, Interfile, Siemens Magnetom, Siemens Somatom and NEMA formats. It also includes tools for converting medical images from proprietary format
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kSNP
kSNP4 does SNP discovery and SNP annotation from whole genomes
kSNP4 identifies the pan-genome SNPs in a set of genome sequences, and estimates phylogenetic trees based upon those SNPs. SNP discovery is based on k-mer analysis, and requires no multiple sequence alignment or the selection of a reference genome, so kSNP4 can take 100's of microbial genomes as input. A SNP locus is defined by an oligo of length k surrounding a central SNP allele. kSNP4 can analyze both complete (finished) genomes and unfinished genomes in assembled contigs or raw, unassembled reads. Finished and unfinished genomes can be analyzed together, and kSNP can automatically download Genbank files of the finished genomes and incorporate the information in those files into the SNP annotation. No programming skills are required to use kSNP4 Gardner, S.N. and Hall, B.G. 2013. . PLoS ONE, 8(12):e81760.doi:10.1371/journal.pone.0081760 Gardner, S.N., T. Slezak, and B.G. Hall. 2015 Bioinformatics 31: 2877-2878 doi: 10.1093/bioinformatics/btv271 -
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ODIN
develop, simulate and run magnetic resonance sequences
ODIN is a free software framework for rapid prototyping of magnetic resonance imaging (MRI) sequences. The sequences can be tested, simulated and executed on scanner hardware from different manufacturers. -
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Combenefit
Synergy analyses of drug and other other agent combinations
Combenefit software is a standalone application for Windows that performs surface analyses of drug and other agent combinations to identify synergy. Please cite as: "Di Veroli,G.Y. et al. (2016) Combenefit: an interactive platform for the analysis and visualization of drug combinations. Bioinformatics." (http://bioinformatics.oxfordjournals.org/content/early/2016/05/27/bioinformatics.btw230.abstract) Current version (2.021): https://sourceforge.net/projects/combenefit/files/Combenefit%202.02%20WIN_64%20%28PREFERRED%29/ Older version for 32-bit os: https://sourceforge.net/projects/combenefit/files/WIN_32/ Quick user's guide: https://sourceforge.net/projects/combenefit/files/Combenefit_v2.02_quick_guide_v1.03.pdf/download Examples: https://sourceforge.net/projects/combenefit/files/Examples/ Template file: https://sourceforge.net/projects/combenefit/files/REPLICATE_TEMPLATE.xls/download
