Downsampling fundus images for retinal vessel segmentation reduces thin-vessel sensitivity by up to 15.8 points while Dice remains stable, with optimal processed widths varying by native dataset resolution.
Neural Netw 126:153-162
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Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets
Downsampling fundus images for retinal vessel segmentation reduces thin-vessel sensitivity by up to 15.8 points while Dice remains stable, with optimal processed widths varying by native dataset resolution.