Open Source Python Medical Software
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Python Medical Software
View 2677 business solutionsBrowse free open source Python Medical Software and projects below. Use the toggles on the left to filter open source Python Medical Software by OS, license, language, programming language, and project status.
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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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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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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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GNU Health
GNU Health - The Free/Libre Hospital and Health Information System
GNU Health is the award-winning Hospital and Health Information System (HIS), declared a Digital Public Good and adopted by the United Nations . GNU Health Hospital and Lab information system is used by academic and research institutions around the globe. It is also used in public health system of countries such as Argentina, India, Jamaica, Laos, Cameroon, Suriname. GNU Health is an official GNU project. GNU Health is brought to you by GNU Solidario, an Non-Profit Organization (NGO) that focuses in Social Medicine. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout
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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niftilib
** MAIN SITE IS NOW: https://github.com/NIFTI-Imaging/nifti_clib **
niftilib is a collection of i/o routines for the nifti1 neuroimage data format. C (nifticlib), Java (niftijlib), Matlab (niftimatlib), and Python (pynifti) code is available. For nifti format info see: http://nifti.nimh.nih.gov/ -
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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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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.
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DCMLinux - Dicom Linux Distribution
Dicom PACS solution for free.
DCMLinux is a complete PACS system, free of charge. Its core is an Ubuntu 14.04 system fully updated and it contains the DCM4CHEE as its PACS server. In the near future it will contain many other addons such as Weasis, Oviyam, Care2x, etc. Just download the iso, burn it to a CD and boot it up. No need to configure any files of dcm4chee, DCMLinux installer asks for everything it needs to configure a running PACS in minutes. Project Wiki : http://wiki.dcmlinux.org Project Forums: http://forums.dcmlinux.org -
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BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
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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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MutaNET
NGS Pipeline and Automated Mutation Analysis
MutaNET comes with a next generation sequencing (NGS) pipeline that calls mutations based on paired-end NGS reads, an automated mutation analysis tool and various file converters and mergers. The mutation analysis feature considers the coding region, protein domains, regulation and transcription factor binding site information, and can be used to analyse the potential impact of mutations on antibiotic resistance. -
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PACS VM
ISO - Customized version of dcm4chee 2.17.3 for MySQL.
1. Add JBoss Application Server 4.2.3.GA for JDK 6. 2. Cleanup for Windows and deprecated files. 3. Off CONSOLE records - http://forums.dcm4che.org/jiveforums/thread.jspa?messageID=4787 -
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pyQPCR is a GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu
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SPADE
A toolkit for developing and deploying protein structure algorithms.
The Structural Proteomics Application Development Environment is a Python tool kit for developing and deploying bioinformatics applications. Handles graphics, analysis, and modeling of protein sequence and structure. Source and Win installers available. SPADE source code can be cloned from http://www.github.com/deaconjs/SPADE. -
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This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
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With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -
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QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
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hl7apy
Python library to parse, create and handle HL7 v2 messages.
We have moved to GitHub: https://github.com/crs4/hl7apy Since version 1.3.3, we no longer distribute hl7apy with SourceForge. Install it using pip (recommended) or download it from GitHub (https://github.com/crs4/hl7apy/releases) -
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The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical image data. Follow the link for more info: http://slicer.org
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ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.
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Ablator
A tool for automating laser ablations for neuroscience
Ablator is a suite of software that automates the microscopic detection of cell targets and also directs a 2-photon microscope to lesion these targets in arbitrary patterns for neuroscience research. See Hayes et al 2012 for an example of its usage (http://www.pnas.org/content/109/21/8286.abstract). -
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