Comparison of deep learning convolutional neural network (CNN) architectures for CT lung cancer classification
Sarah Mohd AshharSiti Salasiah MokriAshrani Aizzuddin Abd. RahniAqilah Baseri HuddinNoraishikin ZulkarnainNor Aniza AzmiThanuja Mahaletchumy
Abstract
Lung cancer is the second most fatal cancer worldwide and ranks at the eighth place in the overall reported deaths in Malaysia [1].Almost 90% of lung cancer patients are both active and passive smokers.As early symptoms of lung cancer are commonly unnoticeable, most of the diagnosis of these patients are found out when they are at stage 3 or 4. Therefore, early screening is highly anticipated.Lung cancer screening can be carried out through computed tomography (CT) scan, sputum cytology and biopsy [2].
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