Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model

Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model

Machine learning has significantly improved disease diagnosis, enhancing the efficiency and accuracy of the healthcare system. One critical area where it proves beneficial is diagnosing brain tumors, a life-threatening disease, where early and accurate predictions can save lives. This study focuses...

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Bibliographic Details
Main Authors: Bhargav Mallampati, Abid Ishaq, Furqan Rustam, Venu Kuthala, Sultan Alfarhood, Imran Ashraf
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Brain tumor detection
MRI features
machine learning
ensemble learning
segmentation
Online Access:https://ieeexplore.ieee.org/document/10332149/

Internet

https://ieeexplore.ieee.org/document/10332149/

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