mammography_metarepository VS Phantom

Compare mammography_metarepository vs Phantom and see what are their differences.

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mammography_metarepository Phantom
2 2
60 3
- -
0.0 10.0
over 1 year ago over 1 year ago
Python Python
BSD 2-clause "Simplified" License -
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.

mammography_metarepository

Posts with mentions or reviews of mammography_metarepository. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-11.

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 mammography_metarepository and Phantom you can also consider the following projects:

huggingface_hub - The official Python client for the Huggingface Hub.

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

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.

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

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.

torchio - Medical imaging toolkit for deep learning

raiven - A framework for the translation of AI tools to the radiology environment

jina - ☁️ Build multimodal AI applications with cloud-native stack