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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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Leveraging deep learning for detecting red blood cell morphological changes in blood films from children with severe malaria anaemia · Sankore

Leveraging deep learning for detecting red blood cell morphological changes in blood films from children with severe malaria anaemia

2024British Journal of HaematologyJournalOpen access

10.1111/bjh.19599 Full text13 citations

Authors

5 authors across 4 institutions in 2 countries.

Ezer MoysisFirst author
Biobele J Brown
- University College Hospital, Ibadan (NG)
- University of Ibadan (NG)
as printed: Biobele J. Brown
Wuraola Shokunbi
- University College Hospital, Ibadan (NG)
- University of Ibadan (NG)
Petru ManescuCorresponding
Delmiro Fernandez-ReyesSenior authorCorresponding
- University College Hospital, Ibadan (NG)
- University of Ibadan (NG)
as printed: Delmiro Fernandez‐Reyes

Fields

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

Digital Imaging for Blood Diseaseslevel 3 · 1.00
Malaria Research and Controllevel 3 · 1.00
Mosquito-borne diseases and controllevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · British Journal of Haematology · 13 citations
https://openalex.org/W4399816172