SADO-Net: A spatial adaptive dart optimized network model for an automated brain tumor diagnosis using MRIs

SADO-Net: A spatial adaptive dart optimized network model for an automated brain tumor diagnosis using MRIs

Early detection of brain tumors is essential, and a biopsy is required to determine the type of tumors in the brain and is only possible after extensive brain surgery. Brain tumors can be identified and classified by clinicians with the aid of computational intelligence algorithms. Here, we develope...

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Bibliographic Details
Main Authors: Ashit Kumar Dutta, Yaseen Bokhari, Faisal Alghayadh, Shtwai Alsubai, Hadeel rami sami alhalabi, Mohammed umer, Abdul Rahaman Wahab Sait
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Alexandria Engineering Journal
Subjects:
Brain tumor
Magnetic resonance image (MRI)
Deep learning
Segmentation
Classification
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824011268
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http://www.sciencedirect.com/science/article/pii/S1110016824011268

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