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Wan Azani Mustafa

As seen in: PLOS ONE, MDPI
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Articles

Improved Brain Tumor Segmentation in MR Images with a Modified U-Net

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By Hiam Alquran, Wan Azani Mustafa, Mohammed Alslatie, Ali Rababah
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Significant effect of image contrast enhancement on weld defect detection

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By Wan Azani Mustafa, Universiti Malaysia Perlis, Pauh Putra Campus, Haniza Yazid
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Mustafa WA, Yazid H, Alquran H, Al-Issa Y, Junaini S (2024) Significant effect of image contrast enhancement on weld defect detection. PLoS ONE 19(6): e0306010. https://doi.org/10.1371/journal.pone.0306010 Editor: Guojin Qin, Southwest Petroleum University, CHINA Received: April 12, 2024; Accepted: June 7, 2024; Published: June 28, 2024 Copyright: © 2024 Mustafa et al.
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Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model

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By Wan Azani Mustafa, Muhamad Safiih Lola, Elissa Nadia Madi, Noor Ilanie Nordin
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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