Colon and lung cancer classification from multi-modal images using resilient and efficient neural network architectures
Automatic classification of colon and lung cancer images is crucial for early detection and accurate diagnostics. However, there is room for improvement to enhance accuracy, ensuring better diagnostic precision. This study introduces two novel dense architectures (D1 and D2) and emphasizes their eff...
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Main Authors: | , , , , , |
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Format: | Article |
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Elsevier
2024
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Online Access: | http://eprints.um.edu.my/45236/ https://doi.org/10.1016/j.heliyon.2024.e30625 |
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