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ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images

PaperCitations, authors & open-access status

ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images is a paper indexed in PICO Portal from OpenAlex.

How many citations does ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images have?

PICO Portalcitation count

ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images has 155 citations in the OpenAlex counts PICO Portal stores.

When was ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images published?

PICO Portalyear

ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images has 2022 year in the PICO Portal index.

What is the open-access status of ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images?

PICO Portaloa status

ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images has closed oa status in the PICO Portal index.

What is the DOI of ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images?

PICO Portaldoi

The DOI for ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images is on the source record.

What is the OpenAlex record for ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images?

PICO Portalopenalex

The OpenAlex for ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images is on the source record.

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