Viewers
dicomviewer
Viewers | dicomviewer | |
---|---|---|
2 | 1 | |
2,909 | 215 | |
1.6% | - | |
9.7 | 8.1 | |
6 days ago | 22 days ago | |
TypeScript | JavaScript | |
MIT License | GNU Affero General Public License v3.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Viewers
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Show HN: Volume rendering 3D data in Three.js and GLSL
My app does not support DICOM files as input. Just Uint8 256x256x256 raw files that are scaled 1x1x1. Maybe if I had the chance to work on it full-time I'd have the time to add those features, but it's just a side project for now.
Have you looked into Slicer3D[0] which is a multi-platform desktop app or Open Health Image Foundations dicom viewer[1] which is web-based? Perhaps one of these will help.
[0] https://www.slicer.org/
[1] https://github.com/OHIF/Viewers
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[P] VinDr Lab - an open-source annotation platform for Medical AI
On a side note, I noticed that a significant portion of this viewer is based on work done by folks at OHIF. Because of the incredible amount of work that went into creating those tools, it is worth citing them in the VinDR arxiv paper:
dicomviewer
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PACS for small, non-radiology practice
Another open source option, but stable because itโs so actively developed: nextcloud. Its dicom viewer seems good, but Iโm no expert in this. I have downloaded it and viewed imaging with it. One click install. Here it is on GitHub: https://github.com/ayselafsar/dicomviewer. News pieces: https://openhealthnews.com/tagged/dicom-viewer-app-nextcloud https://www.techrepublic.com/google-amp/article/how-to-add-dicom-image-viewing-to-nextcloud-hub/ Let me know if you have any questions.
What are some alternatives?
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
vindr-lab - A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.
cornerstone3D - Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
dwv - DICOM Web Viewer: open source zero footprint medical image library.
viewer - ๐ผ Simple file viewer with slideshow for media
gonii - Standalone NIfTI file parser
vm - ๐ปโ๐ฆ The Nextcloud VM (virtual machine appliance), Home/SME Server and scripts for RPi (4). Community developed and maintained.
image-size - Node module for detecting image dimensions
brainchop - Brainchop: In-browser 3D MRI rendering and segmentation