Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Orthanc (server)

Orthanc is a standalone DICOM software server. It is designed to improve the DICOM flows in hospitals and to support research about the automated analysis of medical images. Orthanc lets its users focus on the content of the DICOM files, hiding the complexity of the DICOM format and of the DICOM protocol. It is licensed under the GPLv3.

History, Plugins & History and awards

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Orthanc (server). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Available in
English
License
GPLv3
Operating system
Linux, Windows, macOS
Original authors
Sébastien Jodogne, Liège University Hospital, Osimis, Orthanc Team, Université catholique de Louvain
Release
19 July 2012; 14 years ago (2012-07-19)
Repository
hg.orthanc-server.com/orthanc/

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Plugins

History and awards

Distribution

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Orthanc (server)

Nodes34
Edges33
Triples10
Avg. degree1.94
Density0.058824
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Orthanc (server)

Top relations

Available in · 1
Orthanc (server) → English
License · 1
Orthanc (server) → GPLv3
Operating system · 1
Orthanc (server) → Linux, Windows, macOS
Original authors · 1
Orthanc (server) → Sébastien Jodogne, Liège University Hospital, Osimis, Orthanc Team, Université catholique de Louvain
Release · 1
Orthanc (server) → 19 July 2012; 14 years ago (2012-07-19)
Repository · 1
Orthanc (server) → hg.orthanc-server.com/orthanc/
Stable release · 1
Orthanc (server) → 1.13.0 / 15 August 2026; 9 days ago (2026-08-15)
Type · 1
Orthanc (server) → Vendor Neutral Archive
Website · 1
Orthanc (server) → www.orthanc-server.com
Written in · 1
Orthanc (server) → C++, HTML, JavaScript

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

orthanc dicom images available also sébastien jodogne windows linux macos system gplv3 software standalone server medical format computer de website

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Orthanc (server)Available inEnglish1.00infobox
Orthanc (server)LicenseGPLv31.00infobox
Orthanc (server)Operating systemLinux, Windows, macOS1.00infobox
Orthanc (server)Original authorsSébastien Jodogne, Liège University Hospital, Osimis, Orthanc Team, Université catholique de Louvain1.00infobox
Orthanc (server)Release19 July 2012; 14 years ago (2012-07-19)1.00infobox
Orthanc (server)Repositoryhg.orthanc-server.com/orthanc/1.00infobox
Orthanc (server)Stable release1.13.0 / 15 August 2026; 9 days ago (2026-08-15)1.00infobox
Orthanc (server)TypeVendor Neutral Archive1.00infobox
Orthanc (server)Websitewww.orthanc-server.com1.00infobox
Orthanc (server)Written inC++, HTML, JavaScript1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.