Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age

Usage of effective classification techniques on Magnetic Resonance Imaging (MRI) helps in the proper diagnosis of brain tumors. Previous studies have focused on the classification of normal (nontumorous) or abnormal (tumorous) brain MRIs using methods such as Support Vector Machine (SVM) and AlexNet...

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Detalles Bibliográficos
Autores principales: Wahlang, Imayanmosha, Maji, Arnab Kumar, Saha, Goutam, Chakrabarti, Prasun, Jasinski, Michal, Leonowicz, Zbigniew, Jasinska, Elzbieta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914787/
https://www.ncbi.nlm.nih.gov/pubmed/35270913
http://dx.doi.org/10.3390/s22051766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914787/
https://www.ncbi.nlm.nih.gov/pubmed/35270913
http://dx.doi.org/10.3390/s22051766

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