raiven VS Phantom

Compare raiven vs Phantom and see what are their differences.

raiven

A framework for the translation of AI tools to the radiology environment (by qurit)
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raiven Phantom
1 2
11 3
- -
9.2 10.0
over 2 years ago over 1 year ago
Python Python
GNU General Public License v3.0 only -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

raiven

Posts with mentions or reviews of raiven. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-05.

Phantom

Posts with mentions or reviews of Phantom. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing raiven and Phantom you can also consider the following projects:

yellowbrick - Visual analysis and diagnostic tools to facilitate machine learning model selection.

rt-utils - A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

oso - Oso is a batteries-included framework for building authorization in your application.

Viewers - OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

fpdf2 - Simple PDF generation for Python

mammography_metarepository - Meta-repository of screening mammography classifiers

torchio - Medical imaging toolkit for deep learning

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.