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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Bibliographic Details
Main Authors: Lin, Lua Wei, Saealal, Muhammad Salihin, Ibrahim, Mohd Zamri
Format: Conference or Workshop Item
Language:English
Published: 2023
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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