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Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

PaperCitations, authors & open-access status

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks have?

ScholarIQcitation count

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks has 337 citations in the OpenAlex counts ScholarIQ stores.

When was Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks published?

ScholarIQyear

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks has 2021 year in the ScholarIQ index.

What is the open-access status of Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks?

ScholarIQoa status

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks has gold oa status in the ScholarIQ index.

What is the DOI of Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks?

ScholarIQdoi

The DOI for Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks is on the source record.

What is the PMID of Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks?

ScholarIQpmid

The PMID for Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks is on the source record.

What is the OpenAlex record for Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks?

ScholarIQopenalex

The OpenAlex for Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks is on the source record.

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