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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.

Optimizing CNN Kernel Sizes for Enhanced Melanoma Lesion Classification in Dermoscopy Images

2024Machine Learning ResearchJournalOpen access

10.11648/j.mlr.20240902.11 Full text3 citations

Authors

5 authors.

Adetokunbo Macgregor John-OtumuFirst authorCorresponding
- Federal University of Technology Owerri (NG)
as printed: Adetokunbo John-Otumu
Rebecca Ekemonye
- Federal University of Technology Owerri (NG)
Toochi Ewunonu
- Federal University of Technology Owerri (NG)
Victor Aniugo
- Federal University of Technology Owerri (NG)
Ogadimma OkonkwoSenior author
- Federal University of Technology Owerri (NG)

Fields

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

Cutaneous Melanoma Detection and Managementlevel 3 · 1.00
AI in cancer detectionlevel 3 · 0.99
Industrial Vision Systems and Defect Detectionlevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2024 · Machine Learning Research · 3 citations
https://openalex.org/W4400782895

Optimizing CNN Kernel Sizes for Enhanced Melanoma Lesion Classification in Dermoscopy Images · Sankore