# fo-dicom/fo-dicom

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

Repository: https://github.com/fo-dicom/fo-dicom
Canonical: https://ross.abutalabs.com/products/fo-dicom
Homepage: https://fo-dicom.github.io/stable/v5/index.html
Language: C#
License: NOASSERTION
License Family: other
Topics: dicom, netcore, medical, medical-imaging, dot-net, c-sharp, nuget, jpeg, fo-dicom, netstandard
Last push: 2026-08-15T16:35:01+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 65, longevity 100
- inputs: {"age_days": 4134, "days_push": 18, "days_rel": 156, "gap_med": 41.5, "n_releases_24m": 9}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1210, forks 666 (observed 2026-08-28T04:04:00.003037+00:00)

## What it is
Fellow Oak DICOM (fo-dicom) is a C#/.NET library implementing the DICOM standard for medical imaging, including parsing, image codecs, anonymization, and DICOM network services. It targets .NET Standard 2.0 and .NET 8-10, with optional imaging packages for System.Drawing, ImageSharp, and SkiaSharp rendering.

## Use cases
- parse and read DICOM files in a .NET application
- render DICOM images to bitmaps in C#
- anonymize medical imaging data
- build a DICOM client or server (C-STORE, C-FIND) in .NET
- convert DICOM datasets to JSON or XML
- compress or decompress DICOM images with JPEG/JPEG-LS/JPEG2000 codecs
- handle very large DICOM datasets with on-demand loading

## When to choose
- you need DICOM support in any .NET or .NET Standard compatible project
- you need cross-platform medical imaging parsing and rendering
- you want an actively maintained, well-documented DICOM toolkit for C#

## When to avoid
- you work outside the .NET ecosystem
- you need a full PACS application rather than a library
- you require runtimes older than .NET Standard 2.0 without using the legacy 4.x version

## Facets
- artifact type: library
- maturity: active
- function: parser, image-processing, serialization, sdk
- domain: healthcare, developer-tools, cross-platform
- platform: dotnet, cross-platform, windows
- tags: dicom, medical-imaging, c-sharp, nuget, anonymization, jpeg2000, pacs, linux, macos, android, ios

## Member repositories
- fo-dicom/fo-dicom (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.003037+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:11.241269+00:00, confidence not recorded.
  - readme: https://github.com/fo-dicom/fo-dicom (fetched 2026-08-28T04:04:00.003037+00:00, sha c8164a5fcc41)
  - homepage: https://fo-dicom.github.io/stable/v5/index.html (fetched 2026-08-29T12:26:06.072474+00:00, sha 46702866caca)
- Data as of 2026-08-30T08:39:29.467469+00:00.