Refined Automatic Brain Tumor Classification Using Hybrid Convolutional Neural Networks for MRI Scans

Refined hybrid convolutional neural networks are proposed in this work for classifying brain tumor classes based on MRI scans. A dataset of 2880 T1-weighted contrast-enhanced MRI brain scans are used. The dataset contains three main classes of brain tumors: gliomas, meningiomas, and pituitary tumors...

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Detalles Bibliográficos
Autores principales: AlTahhan, Fatma E., Khouqeer, Ghada A., Saadi, Sarmad, Elgarayhi, Ahmed, Sallah, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001035/
https://www.ncbi.nlm.nih.gov/pubmed/36900008
http://dx.doi.org/10.3390/diagnostics13050864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001035/
https://www.ncbi.nlm.nih.gov/pubmed/36900008
http://dx.doi.org/10.3390/diagnostics13050864

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