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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.

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models

2023BioengineeringJournalOpen access

10.3390/bioengineering10080979 Full text60 citations

Authors

7 authors across 7 institutions in 3 countries.

Roseline Oluwaseun OgundokunFirst authorCorresponding
- Landmark University (NG)
Aiman Li
Ronke Seyi Babatunde
- Kwara State University (NG)
Chinecherem Umezuruike
- Bowen University (NG)
Peter O. Sadiku
- University of Ilorin (NG)
AbdulRahman Tosho Abdulahi
- Kwara State Polytechnic (NG)
Akinbowale Nathaniel BabatundeSenior author
- Kwara State University (NG)

Fields

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

Cutaneous Melanoma Detection and Managementlevel 3 · 1.00
Nonmelanoma Skin Cancer Studieslevel 3 · 0.97
AI in cancer detectionlevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2023 · Bioengineering · 60 citations
https://openalex.org/W4386030102

Enhancing Skin Cancer Detection and Classification in Dermoscopic Images through Concatenated MobileNetV2 and Xception Models · Sankore