drkostas/3D-Semantic-Segmentation

Semantic Segmentation with Transformers on 3D Medical Images

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Emerging

This project helps deep learning researchers and students develop and test semantic segmentation models specifically for 3D medical images. It takes raw 3D medical image data as input and produces a segmented version of the image, where different anatomical structures or regions of interest are precisely outlined. The primary users are academic researchers or students in deep learning courses focusing on medical image analysis.

No commits in the last 6 months.

Use this if you are a deep learning researcher or student who needs to experiment with transformer-based semantic segmentation models on 3D medical image datasets.

Not ideal if you need an out-of-the-box application for clinical diagnosis or a tool for general 2D image segmentation.

medical-imaging deep-learning-research image-segmentation 3d-image-analysis biomedical-ai
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 13 / 25

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67

Forks

8

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Dec 30, 2022

Commits (30d)

0

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