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OPAL

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Your rating: None Average: 4.6 (7 votes)

OPAL Is a full stack web framework for building health care applications.

OPAL encourages rapid development, and elegant, pragmatic design.

Focussed on health care, it builds on years of research and design to
help you in building your app. It's free and open source.

Cytomine

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Your rating: None Average: 5 (1 vote)

The CYTOMINE project (started in 2010) is continuously developing a rich internet application using modern web technologies, databases, and machine learning to foster active and distributed collaboration and ease large-scale image exploitation. Our software is e.g. being used by life scientists to help them better evaluate drug treatments or understand biological processes directly from whole-slide tissue images, by pathologists to share and ease their diagnosis, and by teachers and students for pathology training purposes.

MeVisLab

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Your rating: None Average: 5 (3 votes)

MeVisLab represents a platform for image processing research and development with a focus on medical imaging. It allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments.

AuShadha

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Your rating: None Average: 3.9 (24 votes)

AuShadha (औषध): Means medicine in Sanskrit.

This is a Open Source Electornic Medical Records (EMR) & Public Health Management System for Small Clinics. It might be even suited for speciality medical practice after some customisation.

It is developed with Python, Django and Dojo. Because its developed with Django, it supports whatever database Django supports.

AuShadha code is licensed under GNU-GPL Version 3. Django, Dojo, Icons and other thrid party modules are licensed as per their authors.

rxncon

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Your rating: None Average: 5 (2 votes)

The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.

Features:

  • Automatic visualiztion with Cytoscape.
  • Automatic generation of rule based models for BioNetGen.
  • Storage of biological facts that can be used for modelling.

Clinica

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Your rating: None Average: 3.5 (4 votes)

Simple medical records manager for the desktop to mantain medical records.
It is thought to be easy to use and it's mainly addressed to a single doctor.

It features:

  • Patient management
  • Doctor management (with associated patients)
  • Visit creation/editing
  • Medicine search online (via plugins)
  • Calendar for events and visits
  • Extensibility via plugins

OMERO

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Your rating: None Average: 5 (1 vote)

OMERO is client-server software for visualisation, management and analysis of biological microscope images.

From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organise, analyse and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software.

TutatiX

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Your rating: None Average: 3.5 (2 votes)

TutatiX it's a Dicom Viewer written in python. TutatiX try to be a guide to known how Dicom works and how to develop an application. The must important part of TutatiX it's the documentation that must be detailed and easy to understand.

pydicom

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Your rating: None Average: 5 (1 vote)

pydicom is a pure python package for working with DICOM files. It was made for inspecting and modifying DICOM data in an easy "pythonic" way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements.

pydicom is not a DICOM server, and is not primarily about viewing images. It is designed to let you manipulate data elements in DICOM files with python code.

RapidSMS

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Your rating: None Average: 2.5 (2 votes)

RapidSMS is a SMS-based (text message) framework that manages data collection, complex workflows, and group coordination using basic mobile phones — and can present information on the internet as soon as it is received. So far RapidSMS has been customized and deployed with diverse functionality: remote health diagnostics, nutrition surveillance, supply chain tracking, registering children in public health campaigns, and community discussion.

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