Skip to content

SankoreAfrican research intelligence

Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Skin Disease Classification using Deep Learning Methods

2022Publication

10.1109/ited56637.2022.10051236 Full text8 citations

Authors

6 authors.

Kehinde Adebola OlatunjiFirst author
- Afe Babalola University (NG)
Abiodun Oguntimilehin
- Afe Babalola University (NG)
Oluwaseyi Adesina Adeyemo
- Afe Babalola University (NG)
Opani Mesark Aweh
- Afe Babalola University (NG)
Adeola Ibukun Abiodun
- Afe Babalola University (NG)
Oniyide Alabi BelloSenior author
- Afe Babalola University (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 · 1.00
Digital Imaging for Blood Diseaseslevel 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
2022 · 8 citations
https://openalex.org/W4323021810

Skin Disease Classification using Deep Learning Methods · Sankore