Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network

Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafted features with convolutional neural networks (CNNs) to enhan...

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Detalles Bibliográficos
Autores principales: Ullah, Faizan, Nadeem, Muhammad, Abrar, Mohammad, Al-Razgan, Muna, Alfakih, Taha, Amin, Farhan, Salam, Abdu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453895/
https://www.ncbi.nlm.nih.gov/pubmed/37627909
http://dx.doi.org/10.3390/diagnostics13162650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453895/
https://www.ncbi.nlm.nih.gov/pubmed/37627909
http://dx.doi.org/10.3390/diagnostics13162650

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