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[HTML][HTML] Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller, SH Wang… - Nature …, 2022 - nature.com
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
被引用次数：42 相关文章

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

S Pati, U Baid, B Edwards, M Sheller, SH Wang… - 2022 - jdc.jefferson.edu
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
View it @ CTU

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - ideas.repec.org
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
View it @ CTU

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - pubmed.ncbi.nlm.nih.gov
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
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[PDF][PDF] Federated learning enables big data for rare cancer boundary detection.

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - boris.unibe.ch
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
View it @ CTU

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - econpapers.repec.org
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
View it @ CTU

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - kclpure.kcl.ac.uk
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

S Pati, U Baid, B Edwards, M Sheller… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Although machine learning (ML) has shown promise in numerous domains, there are
concerns about generalizability to out-of-sample data. This is currently addressed by …
View it @ CTU

Federated learning enables big data for rare cancer boundary detection.

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - europepmc.org
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …
View it @ CTU

Federated learning enables big data for rare cancer boundary detection

S Pati, U Baid, B Edwards, M Sheller… - Nature …, 2022 - researchnow.flinders.edu.au
Although machine learning (ML) has shown promise across disciplines, out-of-sample
generalizability is concerning. This is currently addressed by sharing multi-site data, but …