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Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
MRI image super-resolution, CT image denoising, PET image synthesis, and all-in-one medical image restoration -
Pathological Image Super-Resolution Dataset
The proposed dataset for pathological image super-resolution, which consists of 3249x3249 pathological images and 113 testing images. -
CT Image Denoising Dataset
The proposed dataset for CT image denoising, which consists of 512x512 CT images and 9 training images. -
PET Image Synthesis Dataset
The proposed dataset for PET image synthesis, which consists of 115 HQ PET images and 90 training images. -
Region Attention Transformer for Medical Image Restoration
The proposed region attention transformer (RAT) for medical image restoration, which conducts attention within similar semantic regions, facilitating pixels with similar...