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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia

2024Journal of Dental ResearchJournalOpen access

10.1177/00220345241272048 Full text25 citations

Authors

12 authors across 8 institutions in 4 countries.

J. AdeoyeFirst authorCorresponding
Akhilanand Chaurasia
as printed: A. Chaurasia
Abdul-Warith Olaitan Akinshipo
- University of Lagos (NG)
as printed: A. Akinshipo
I.K. Suleiman
- University of Maiduguri (NG)
L.-W. Zheng
A.W.I. Lo
J.J. Pu
S. Bello
Fadekemi O. Oginni
- Obafemi Awolowo University (NG)
as printed: F.O. Oginni
E.T. Agho
- National Hospital Abuja (NG)
Ramat O. Braimah
- Usmanu Danfodiyo University (NG)
as printed: R.O. Braimah
Y.X. SuSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Oral Health Pathology and Treatmentlevel 3 · 1.00
Head and Neck Cancer Studieslevel 3 · 1.00
Salivary Gland Tumors Diagnosis and Treatmentlevel 3 · 0.98

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · Journal of Dental Research · 25 citations
https://openalex.org/W4403258079

A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia · Sankore