MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Set up and run medical image segmentation tasks using deep learning models with minimal code.
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Free · no card · unsubscribe anytimeA framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
MIScnn has 425 stars on GitHub. It has been forked 118 times. MIScnn is written mainly in Python. It has been in active development since 2019. MIScnn is available under the GPL-3.0 license. Its main topics are clinical-decision-support, computer-vision, convolutional-neural-networks, deep-learning.
What is MIScnn?
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Is MIScnn open source?
MIScnn is an open-source project. It is released under the GPL-3.0 license.
Is MIScnn free?
Yes. MIScnn is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does MIScnn use?
MIScnn is available under the GPL-3.0 license.
What language is MIScnn written in?
MIScnn is written mainly in Python.
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