Comments (3)
To replace certain DicomTags like street names we need fake data, cant be empty - therefore JS Fakers need to be checked and choosen
from adit.
It also can't depend on node js stuff as this would be backend. But that's OK as dcmjs works fully browser based. I guess there won't be a ready to use anonymization lib for dcmjs, but I think it's not to hard to create one. maybe we can open source it on its own, too (I can help with that). Makes sense as it should best be completely independent from adit. A good guideline what to anonymize is https://dicom.nema.org/medical/dicom/current/output/chtml/part15/chapter_E.html
from adit.
And yes, fakerjs is super solid now (after it's cumbersome history https://javascript.plainenglish.io/open-source-a-horror-story-c14caba386a8 it was adopted by a large maintainer group)
from adit.
Related Issues (8)
- Series level transfer pseudonymization HOT 5
- Token authentication HOT 1
- Upload with websockets and integrated client side pseudonymization HOT 3
- Export also dicom task results that did not succeed
- Batch query on series number
- Permission structure for accessing Dicom Nodes HOT 1
- send_c_store error: failed to encode the dataset
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from adit.