Open Source Python Medical Software - Page 3

MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).

Application to use MRI brain atlases composed of template images and label images pairs. This application will segment MRI images using labels provided by the atlas. The labels are combined using the voting fusion technique. Please visit our page at http://www.brain-development.org.

Thi application helps the segmentation of mri brain images into 6 tissue classes by using the T2 neonatal atlas available at http://www.brain-development.org.

The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.

What is MedSquare about? Our aim is to create a powerful and flexible modular environment for exploration of medical images, for both medical and scientific purposes.

Medical Image Computing Workflow (MICFlow) is a simple, easy but flexible, extensible and powerful workflow system to automate medical image computing tasks such as segmentation, registration and analysis. It's pure Python so can be used on any platform

XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es

Naimath (syn. blessing) is a project to create tools for diagnosis, management of clinical cases in the form of Rule based Medical Expert System integrating Interactive Health education, Semantified EMR, and serve as a learning tool for students. Website seen at www.naimath.com

The NetEpi project is developing open-source, network-enabled tools for epidemiology and public health practice.

OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments).

The Open Source Health Information Platform is a Python implementation of openEHR electronic health record specifications http://www.openehr.org. Project website : http://launchpad.net/oship Analytics are at: http://www.ohloh.net/projects/oship

The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image processing filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models.

Peptide Vaccine Analysis Tool (PVAT) is an optimization software that predicts the best possible peptide stretches in a given protein sequence based on two factors: 1. the surface exposure of the peptide stretches, and 2. their susceptibility to mutation.

PocketAnalyzerPCA combines a geometric algorithm for detecting pockets in proteins with Principal Component Analysis and clustering. This enables visualization and analysis of pocket conformational distributions of large sets of protein structures.

Py3DN, is an open-source solution providing innovative tools to analyze 3D data collected with the widely used commercial system Neurolucida (MBF). It allows the construction of mathematical representations of neuronal topology, visualization and a variety of morphometric analysis on the neuronal structures. Above all, it provides a flexible environment where new types of analyses can be easily set up allowing total freedom to test new hypotheses. The application was developed in Python and uses Blender (an open source program) to produce detailed 3D representations of raw and processed data. Py3DN is described in the paper: Aguiar P et al, "Versatile morphometric analysis and visualization of the three-dimensional structure of neurons", Neuroinformatics, 2013, 11(4):393-403 doi: 10.1007/s12021-013-9188-z

PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

PyExPsiN is a Python crossplatform (Linux/Windows) module for made easy writing psychological experiments. Right now includes functions for DMTS (Delayed Matching to Sample), N-Back, Spatial N-Back, "Grammatical", Mixed Dots, Stroop, and more.

This will be a place to release tools that have not yet been added to SciPy (or will not be added for whatever reason). Currently an interface to ImageMagick is here.

Sistema de administración para laboratorio Bioquímico

A set of components based upon the PyGTK architecture for interactively displaying time-sampled data in the form of "strip charts".

A python class and GUI for visualization of data generated by the medical treatment planning software TRiP. Project has been moved to http://github.com/pytrip/pytrip on 15.06.2016

PyTuneSounds is a application that lets the user tune the volumes of sounds in a variety of ways, e.g. to use these in psychoacoustic experiments. It is possible to correct the spectrum of the sound with respect to equipment-inherent filters.

PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects.

Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/