Phantom
Viewers
| Phantom | Viewers | |
|---|---|---|
| 2 | 2 | |
| 3 | 2,941 | |
| - | 2.7% | |
| 10.0 | 9.7 | |
| over 1 year ago | 4 days ago | |
| Python | TypeScript | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Phantom
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:
What are some alternatives?
rt-utils - A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
mammography_metarepository - Meta-repository of screening mammography classifiers
vindr-lab - A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.
torchio - Medical imaging toolkit for deep learning
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.
raiven - A framework for the translation of AI tools to the radiology environment
dwv - DICOM Web Viewer: open source zero footprint medical image library.
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
dicomviewer - DICOM Viewer in Nextcloud
gonii - Standalone NIfTI file parser
image-size - Node module for detecting image dimensions