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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.

Hybrid Deep Transfer Learning for Enhanced Brain Tumor Detection through the Integration of MobileNetV2 and InceptionV3

2025Procedia Computer SciencePublicationOpen access

10.1016/j.procs.2025.04.556 Full text8 citations

Authors

6 authors across 8 institutions in 4 countries.

Roseline Oluwaseun OgundokunFirst authorCorresponding
- Landmark University (NG)
Charles Awoniyi
Nabeela T. Adebola
Akinrotimi Akinyemi
- Caleb University (NG)
Samson Akinpelu
- University of KwaZulu-Natal (ZA)
as printed: Samson Adebisi Akinpelu
Matthew O. AdigunSenior author
- University of Zululand (ZA)

Fields

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

Brain Tumor Detection and Classificationlevel 3 · 1.00
COVID-19 diagnosis using AIlevel 3 · 1.00
Advanced Neural Network Applicationslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2025 · Procedia Computer Science · 8 citations
https://openalex.org/W4410258145

Hybrid Deep Transfer Learning for Enhanced Brain Tumor Detection through the Integration of MobileNetV2 and InceptionV3 · Sankore