Combining CNN Features with Voting Classifiers for Optimizing Performance of Brain Tumor Classification

SIMPLE SUMMARY: This study presents a hybrid model for brain tumor detection. Contrary to manual featur extraction, features extracted from a convolutional neural network are used to train the model. Experimental results show the efficacy of CNN features over manually extracted features and model ca...

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Detalles Bibliográficos
Autores principales: Alturki, Nazik, Umer, Muhammad, Ishaq, Abid, Abuzinadah, Nihal, Alnowaiser, Khaled, Mohamed, Abdullah, Saidani, Oumaima, Ashraf, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046217/
https://www.ncbi.nlm.nih.gov/pubmed/36980653
http://dx.doi.org/10.3390/cancers15061767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046217/
https://www.ncbi.nlm.nih.gov/pubmed/36980653
http://dx.doi.org/10.3390/cancers15061767

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