Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique

Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique

Brain tumor classification is a critical task in medical imaging, as accurate diagnosis directly influences treatment planning and patient outcomes. Traditional methods often fall short in achieving the required precision due to the complex and heterogeneous nature of brain tumors. In this study, we...

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Bibliographic Details
Main Authors: Karim Gasmi, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Neuroinformatics
Subjects:
brain tumor prediction
ensemble learning
vision transformer
genetic algorithm
parameter selection
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2024.1444650/full
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https://www.frontiersin.org/articles/10.3389/fninf.2024.1444650/full

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