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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.

IMPROVING SKIN LESION SEGMENTATION IN DERMOSCOPY IMAGES USING DATA AUGMENTATION AND PRE-TRAINED MODEL

2025JOURNAL OF RESEARCH AND REVIEW IN SCIENCEJournalOpen access

10.36108/jrrslasu/5202.21.0230 Full text0 citations

Authors

8 authors across 3 institutions in 3 countries.

Kehinde A SotonwaFirst author
- Lagos State University (NG)
as printed: Kehinde Sotonwa
Tomiloba Olowo
Hanat Raji- Lawal
Adedoyin Odumabo
Folasade Okikiola
Idris Aremu
Mariam Aliyu
Ogunyemi OluwapelumiSenior author

Fields

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

Cutaneous Melanoma Detection and Managementlevel 3 · 0.99
Nonmelanoma Skin Cancer Studieslevel 3 · 0.00
Face recognition and analysislevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · JOURNAL OF RESEARCH AND REVIEW IN SCIENCE · 0 citations
https://openalex.org/W7202300816

IMPROVING SKIN LESION SEGMENTATION IN DERMOSCOPY IMAGES USING DATA AUGMENTATION AND PRE-TRAINED MODEL · Sankore