Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques
Machine learning offers significant potential for lung cancer detection, enabling early diagnosis and potentially improving patient outcomes. Feature extraction remains a crucial challenge in this domain. Combining the most relevant features can further enhance detection accuracy. This study employe...
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Main Authors: | Li, Liangyu, Yang, Jing, Por, Lip Yee, Khan, Mohammad Shahbaz, Hamdaoui, Rim, Hussain, Lal, Iqbal, Zahoor, Rotaru, Ionela Magdalena, Dobrota, Dan, Aldrdery, Moutaz, Omar, Abdulfattah |
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Format: | Article |
Published: |
Elsevier
2024
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Online Access: | http://eprints.um.edu.my/45598/ https://doi.org/10.1016/j.heliyon.2024.e26192 |
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