Open Source Medical Software
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Medical Software
View 203 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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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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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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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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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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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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Integrated Hospital Information System. PHP,mySQL,PostgreSQL. Surgery, Nursing,Outpatient,Wards,Labs, Pharmacy, Security,Admission,Schedulers, Repair, Communication & more. Multilanguage, WYSIWYG forms, userconfig, embedded workbots. Modular & scalab
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The HAPI HL7v2 project has moved to the following home: https://hapifhir.github.io/hapi-hl7v2/
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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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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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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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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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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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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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Febrl (Freely Extensible Biomedical Record Linkage) does data standardisation (segmentation and cleaning) and probabilistic record linkage ("fuzzy" matching) of one or more files or data sources which do not share a unique record key or identifier.
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R packages (maintained by YJLEE)
R packages for PK/PD modeling , BE/BA, drug stability, ivivc, etc.
These R packages are developed for data analysis of PK/PD modeling & simulation, bioequivalence/bioavailability (BE/BA), drug stability, in-vitro and in-vivo correlation (ivivc), as well as therapeutic drug monitoring (TDM). -
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Software development in support of restoring MNG/JNG support to Mozilla, and hosting of MNG/JNG-supporting executable versions of Mozilla and Mozilla-Firebird.
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ATCalc
Programming environment. Scientific and graphic calculator.
From single or scientific calculator to structured programming environment (+- pascal): Input, graphic (display of functions; direct draw; display, capture, etc. of images) functions; tests, ... Ready: visual problems or blind users. See below in the web (http://atcalc.sourceforge.net/) -
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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 -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. It can be run in batch mode. It supports a wide array of binary file formats as well as ASCII text. -
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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
