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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.

Deep Learning Approaches in Medical Image Segmentation: Implications for Brain Tumor Detection and Analysis

2025Asian Journal of Electrical SciencesJournalOpen access

10.70112/ajes-2025.14.1.4254 Full text3 citations

Authors

6 authors across 2 institutions in 2 countries.

Taiwo O. AdigunFirst author
- University of Lay Adventists of Kigali (RW)
as printed: Taiwo Adigun
Adebisi O. Olosunde
- Babcock University (NG)
as printed: Adebisi Olosunde
Adebisi Olosunde
- Babcock University (NG)
Adebisi Olosunde
- Babcock University (NG)
Adebisi Olosunde
- Babcock University (NG)
Ibukun EweoyaSenior author
- University of Lay Adventists of Kigali (RW)

Fields

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

Brain Tumor Detection and Classificationlevel 3 · 0.97

Sources

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

openalexseen September 24, 2026
2025 · Asian Journal of Electrical Sciences · 3 citations
https://openalex.org/W4407117153

Deep Learning Approaches in Medical Image Segmentation: Implications for Brain Tumor Detection and Analysis · Sankore