Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis

Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis

The classification of brain tumors from medical imaging is pivotal for accurate medical diagnosis but remains challenging due to the intricate morphologies of tumors and the precision required. Existing methodologies, including manual MRI evaluations and computer-assisted systems, primarily utilize...

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Bibliographic Details
Main Authors: R. Sathya, T. R. Mahesh, Surbhi Bhatia Khan, Areej A. Malibari, Fatima Asiri, Attique ur Rehman, Wajdan Al Malwi
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Medicine
Subjects:
brain tumor classification
medical imaging
deep learning
convolutional neural networks (CNN)
Xception architecture
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1487713/full
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https://www.frontiersin.org/articles/10.3389/fmed.2024.1487713/full

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