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DICOM

COMSATS Open Source Healthcare Management System (COS-HMS)

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Your rating: None Average: 3.9 (22 votes)

COMSATS Open Source Healthcare Management System (COS-HMS) is designed and developed on scalable architecture and technologies like Java EE, MySQL, JBoss Application Server on Linux platform. It adheres the compliance of international standards like ICD-10 (World Health Organization's International Classification of Diseases), DICOM (Digital Imaging and Communications in Medicine) & LOINC (Logical Observation Identifiers Names and Codes).

Xphile

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Your rating: None Average: 3.2 (23 votes)

Xphile is a free, open source radiology teaching library system for Mac OS X. The project is an effort to create an easily accessed local solution for storing and categorising radiology images and descriptions. Xphile requires a minimum of Mac OS X 10.4.

  • Store images exported from your PACS system
  • Drag and drop cases directly from OsiriX
  • Browse by system, pathology and region
  • Make smart and simple albums
  • Create Keynote presentations
  • Query, import to and export from MIRC sites

dicompyler

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Your rating: None Average: 3.8 (9 votes)

dicompyler is an extensible, fully open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform viewer for DICOM and DICOM RT objects. dicompyler is written in Python and is built on pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.

Dcm4chee Lite Viewer

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Your rating: None Average: 3.5 (4 votes)

Turyon DCM4CHEE Lite Viewer allows us to work or download DICOM images stored on the DCM4CHEE PACS.
Main features are: 2D, MPR and 3D Volume Reconstruction (VR).
Plug-in architecture.
Users can download all or authorized only DICOM images on a remote or local DCM4CHEE PACS.
This viewer can send a DICOM Structured Report (SR) to the PACS.
Cross-platform. Made in Java.
Free and open source. Download it, use it, modify it and share your improvements!!! Join us to make of this a better piece of software. Released under GPL v3.

Axial 360

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Your rating: None Average: 2.3 (4 votes)
  • Axial 360 is an interface engine and connector library that enables health care systems of all types - hospital systems, lab systems, EHRs, HIEs, etc - to share clinical data when it is needed.
  • Axial 360 is built using best-of-bread open source components that enable improved scalability, extensibility, and modularity relative to other interface engines.
  • Axial 360 will feature a library of free “connectors” developed by the open source community, that will reduce the time required to interface with applications.

Nukak3D

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Your rating: None Average: 1.6 (9 votes)

3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting, DICOM support.

DICOM#

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Your rating: None Average: 2 (5 votes)

DICOM# open source project is intented to provide an OO class library for DICOM communication and will be developed purely by C# and running in .NET environment. DICOM# partially rewrites dcm4che open source project in C#.

PixelMed Java DICOM Toolkit

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Your rating: None Average: 3.6 (15 votes)

PixelMed Java DICOM Toolkit is a stand-alone DICOM toolkit that implements code for reading and creating DICOM data, DICOM network and file support, a database of DICOM objects, support for display of directories, images, reports and spectra, and DICOM object validation.

The toolkit is a completely new implementation, which does not depend on any other DICOM tools, commercial or free. It does make use of other freely available pure Java tools for compression and XML and database support.

Medical Exploration Toolkit (METK)

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Your rating: None Average: 1.8 (4 votes)

The MedicalExplorationToolkit (METK) was designed for loading, visualizing and exploring segmented medical data sets. It is a framework of several modules in MeVisLab, a development environment for medical image processing and visualization.

  • Case Management: Load and save whole cases of segmented structures e.g. for surgery planning, educational training or intra operative visualization.
  • Basic Visualization in 2D and 3D: Visualize segmented structures in multiple manner e.g. iso surface rendering, stippling, hatching, silhouettes, volume rendering, 2d overlays.

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