Retinal vessel segmentation is extremely important for risk prediction and treatment of many major diseases. Therefore. accurate segmentation of blood vessel features from retinal images can help assist physicians in diagnosis and treatment. Convolutional neural networks are good at extracting local feature information. https://www.jandroutboard.com/product-category/science-toys/
MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN
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