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Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework

PaperCitations, authors & open-access status

Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 144 citations, 2023 year and closed oa status.

144
Citations
2023
Year
closed
OA Status

Related on ScholarIQ

Prashant Johri
Author
Brain Tumor Detection and Classification
Topic
Brain Tumor Detection and Classification
Topic
Machine Learning and ELM
Topic
Advanced Neural Network Applications
Topic
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