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.

Development of Machine Learning and Medical Enabled Multimodal for Segmentation and Classification of Brain Tumor Using MRI Images

2022Computational Intelligence and NeuroscienceJournalOpen access

10.1155/2022/7797094 Full text14 citations

Authors

8 authors across 6 institutions in 2 countries.

L. AnandFirst author
Kantilal Pitambar Rane
Laxmi A. Bewoor
Jyoti L. Bangare
Jyoti Surve
Mutkule Prasad Raghunath
K. Sakthidasan Sankaran
Bernard OseiSenior authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Brain Tumor Detection and Classificationlevel 3 · 1.00
Advanced Neural Network Applicationslevel 3 · 1.00
COVID-19 diagnosis using AIlevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2022 · Computational Intelligence and Neuroscience · 14 citations
https://openalex.org/W4293206482

Development of Machine Learning and Medical Enabled Multimodal for Segmentation and Classification of Brain Tumor Using MRI Images · Sankore