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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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Random Forest-Based Approach for Integrating Blood Profile in Metastatic Breast Cancer Classification

2024Publication

10.1109/seb4sdg60871.2024.10629687 Full text3 citations

Authors

6 authors.

Marion Olubunmi AdebiyiFirst author
- Landmark University (NG)
as printed: Marion O. Adebiyi
Ugwu Chukwuebuka J.
- Landmark University (NG)
Deborah Olaniyan
- Landmark University (NG)
Ayodele A. Adebiyi
- Landmark University (NG)
Julius Olaniyan
- Landmark University (NG)
Oghenegueke Fortune AmrevuawhoSenior author
- Landmark University (NG)

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 · 0.97
Brain Tumor Detection and Classificationlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · 3 citations
https://openalex.org/W4401608297

Random Forest-Based Approach for Integrating Blood Profile in Metastatic Breast Cancer Classification · Sankore