LeeJunHyun/Image_Segmentation
PyTorch implementations of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net for biomedical image segmentation.

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This repository provides PyTorch implementations of four convolutional neural network architectures for image segmentation. The models include standard U-Net, recurrent residual U-Net (R2U-Net), attention U-Net, and their combined variant (Attention R2U-Net). Evaluations were conducted on the ISIC 2018 skin lesion segmentation dataset.