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U-Net
Segment complex medical images, customize segmentation process, adaptable for various applications.
U-Net is a generic implementation available within the TensorFlow ecosystem specifically designed for image segmentation tasks in healthcare and lifestyle growth applications. It provides a foundational architecture that developers can utilise to process visual data through machine learning models trained on various datasets. The codebase is hosted on GitHub where users can access the source material directly for integration into their own projects.
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