Weighted average ensemble deep learning model for stratification of brain tumor in MRI images
Abstract: Brain tumor diagnosis at an early stage can improve the chances of successful treatment and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures, such as magnetic resonance imaging (MRI), can be used to diagnose brain tumors. Deep learning, a type of a...
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Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | http://irep.iium.edu.my/104496/2/104496_Weighted%20average%20ensemble.pdf http://irep.iium.edu.my/104496/8/104496_Weighted%20Average%20Ensemble%20Deep%20Learning%20Model%20for%20Stratification%20of%20Brain%20Tumor%20in%20MRI%20Images%20_SCOPUS.pdf http://irep.iium.edu.my/104496/ https://www.mdpi.com/2075-4418/13/7/1320 https://doi.org/10.3390/ diagnostics13071320 |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |
Internet
http://irep.iium.edu.my/104496/2/104496_Weighted%20average%20ensemble.pdfhttp://irep.iium.edu.my/104496/8/104496_Weighted%20Average%20Ensemble%20Deep%20Learning%20Model%20for%20Stratification%20of%20Brain%20Tumor%20in%20MRI%20Images%20_SCOPUS.pdf
http://irep.iium.edu.my/104496/
https://www.mdpi.com/2075-4418/13/7/1320
https://doi.org/10.3390/ diagnostics13071320