frankkramer-lab/MIScnn
MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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frankkramer-lab
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May 9, 2019
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MIScnn is a framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning that provides a high-level API for medical image analysis. It offers preprocessing, data augmentation, and various CNN architectures specifically designed for medical imaging tasks. The framework aims to simplify the implementation of deep learning pipelines for medical image segmentation.
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Updated 2 years ago
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- Project created
- May 9, 2019
- Forked
- Mar 23, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- May 10, 2023
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