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, Mohd Zamri, Ibrahim, Muhammad Salihin, Saealal, Marlina, Yakno
Format:	Conference or Workshop Item
Language:	en en
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/39132/1/ITIS_ID91_LungCancer_CameraReady.pdf https://umpir.ump.edu.my/id/eprint/39132/7/Exploring%203D%20convolutional%20neural%20networks.pdf https://umpir.ump.edu.my/id/eprint/39132/ http://doi.org/10.1109/ITIS59651.2023.10420062
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