Phantom VS torchio

Compare Phantom vs torchio and see what are their differences.

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Phantom torchio
2 2
3 1,968
- -
10.0 8.2
over 1 year ago 8 days ago
Python Python
- Apache License 2.0
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.

Phantom

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

torchio

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

What are some alternatives?

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

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

Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.

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

pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

mammography_metarepository - Meta-repository of screening mammography classifiers

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

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

TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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.

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."