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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.

Deep Learning for Brain Tumour Analysis: A Systematic Review of CNN‐Transformer Hybrids in Multimodal Imaging

2026International Journal of Biomedical ImagingJournalOpen access

10.1155/ijbi/4763936 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Solomon Buabeng AntwiFirst authorCorresponding
- University of Energy and Natural Resources (GH)
- Sunyani Technical University (GH)
Peter Appiahene
- University of Energy and Natural Resources (GH)
Ben Beklisi Kwame Ayawli
- Sunyani Technical University (GH)
Peter NimbeSenior author
- University of Energy and Natural Resources (GH)

Fields

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

Brain Tumor Detection and Classificationlevel 3 · 0.70
Advanced Neural Network Applicationslevel 3 · 0.12
Glioma Diagnosis and Treatmentlevel 3 · 0.03

Sources

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

openalexseen September 5, 2026
2026 · International Journal of Biomedical Imaging · 0 citations
https://openalex.org/W7164899036

Deep Learning for Brain Tumour Analysis: A Systematic Review of CNN‐Transformer Hybrids in Multimodal Imaging · Sankore