Exploring 3D convolutional neural networks for enhanced detection in lung cancer classification
Accurate lung cancer diagnosis is crucial for timely treatment and improved patient outcomes. However, the limitations associated with traditional manual interpretation techniques often result in misdiagnosis, emphasizing the pressing need to develop an automated tool. This study proposes a groundbr...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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Online Access: | http://eprints.utem.edu.my/id/eprint/27998/1/Exploring%203D%20convolutional%20neural%20networks%20for%20enhanced%20detection%20in%20lung%20cancer%20classification.pdf http://eprints.utem.edu.my/id/eprint/27998/ https://ieeexplore.ieee.org/document/10420062 |
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Institution: | Universiti Teknikal Malaysia Melaka |
Language: | English |
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