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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.

Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features

2022InformaticsJournalOpen access

10.3390/informatics9040091 Full text13 citations

Authors

5 authors across 4 institutions in 2 countries.

David ClementFirst author
- African Institute of Science and Technology (NG)
- University of Abuja (NG)
- Nile University of Nigeria (NG)
Emmanuel AguCorresponding
John D. Obayemi
as printed: John Obayemi
Steve A. Adeshina
- University of Abuja (NG)
- Nile University of Nigeria (NG)
as printed: Steve Adeshina
W.O. SoboyejoSenior author
as printed: Wole Soboyejo

Fields

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

AI in cancer detectionlevel 3 · 1.00
Radiomics and Machine Learning in Medical Imaginglevel 3 · 1.00
Digital Imaging for Blood Diseaseslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Informatics · 13 citations
https://openalex.org/W4308534827

Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features · Sankore