[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
Segment 3D medical images using a specialized model designed for handling complex medical datasets.
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MedNeXt has 519 stars on GitHub. It has been forked 68 times. MedNeXt is written mainly in Python. It has been in active development since 2023. MedNeXt is available under the Apache-2.0 license. Its main topics are convnext, ct-segmentation, medical-ai, medical-image-analysis.
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
MedNeXt is an open-source project. It is released under the Apache-2.0 license.
Yes. MedNeXt is free and open source — you can use, modify and self-host it.
MedNeXt is available under the Apache-2.0 license.
MedNeXt is written mainly in Python.
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