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Machine learning use in early ovarian cancer detection · Peerford

Article · Journal · 2025

Machine learning use in early ovarian cancer detection

Emmanuel Kokori, Nicholas Aderinto, Olatunji Gbolahan, Israel Charles Abraham, Rosemary Komolafe, Bonaventure Ukoaka and 3 more

Discover Medicine

Open access · Gold
World top 10%

Read it 10.1007/s44337-025-00260-6

Citations: 4from other works
Field-weighted impact: 3.691.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 9from 6 institutions

Authors

9 authors across 6 institutions in 1 country

Emmanuel KokoriFirst author
- University of Ilorin (NG)
Nicholas AderintoCorresponding
- Ladoke Akintola University of Technology (NG)
Olatunji Gbolahan
- University of Ilorin (NG)
as printed: Gbolahan Olatunji
Israel Charles Abraham
- University of Ilorin (NG)
Rosemary Komolafe
- University of Ilorin (NG)

Bonaventure Ukoaka

Lagos State Health Service Commission (NG)

Chidiogo Ezenwoba

University of Benin Teaching Hospital (NG)

Ebuka Kennedy AnyachebeluSenior author

Lagos University Teaching Hospital (NG)
Lagos State University Teaching Hospital (NG)

Country

Nigeria

Fields

A work can sit in several, each with a score

AI in cancer detectionTopic
Ovarian cancer diagnosis and treatmentTopic