Shypd.aiThe largest open index of AI toolsImage_Segmentation is an open-source PyTorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net for image segmentation. It provides various architectures for biomedical image segmentation tasks.
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Image_Segmentation offers a PyTorch implementation of several advanced U-Net architectures, including the original U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net. This repository is designed for researchers and developers working on image segmentation, particularly in the biomedical field. It provides the foundational code for these models, allowing users to apply them to their own datasets. The project includes evaluation metrics based on the ISIC 2018 dataset, demonstrating its application in medical image analysis. While the repository is no longer actively updated, it serves as a valuable resource for understanding and utilizing these specific deep learning models for segmentation tasks.
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