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Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks

PaperCitations, authors & open-access status

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks have?

ScholarIQcitation count

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks has 134 citations in the OpenAlex counts ScholarIQ stores.

When was Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks published?

ScholarIQyear

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks has 2020 year in the ScholarIQ index.

What is the open-access status of Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks?

ScholarIQoa status

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks has closed oa status in the ScholarIQ index.

What is the DOI of Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks?

ScholarIQdoi

The DOI for Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks is on the source record.

What is the PMID of Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks?

ScholarIQpmid

The PMID for Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks is on the source record.

What is the OpenAlex record for Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks?

ScholarIQopenalex

The OpenAlex for Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks is on the source record.

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