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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.

An optimized deep neural network and transfer learning approaches for endometriosis classification

2026Nature Journal of Emerging Sciences Technologies and InnovationsJournalOpen access

10.65752/eq1tse55 Full text0 citations

Authors

6 authors across 2 institutions in 1 country.

Opeyemi Aderiike AbisoyeFirst author
- Veritas University (NG)
- Federal University of Technology Minna (NG)
Ruth Ailoyafen
- Federal University of Technology Minna (NG)
Solomon Adelowo Adepoju
- Federal University of Technology Minna (NG)
Blessing Olatunde Abisoye
- Federal University of Technology Minna (NG)
Oladayo Tosin Akinwande
- Veritas University (NG)
Ikouwen Ufort UsohSenior author
- Veritas University (NG)

Fields

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

Endometriosis Research and Treatmentlevel 3 · 0.51
AI in cancer detectionlevel 3 · 0.18
Gynecological conditions and treatmentslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Nature Journal of Emerging Sciences Technologies and Innovations · 0 citations
https://openalex.org/W7142847434

An optimized deep neural network and transfer learning approaches for endometriosis classification · Sankore