Abstract
By detecting lung cancer in advance, doctors can make the right decision to
treat patients to ensure that they live long and healthy lives. This research aims to build
a CNN model using a pre-trained model and functional API that would classify if a
person had lung cancer or not based on a CT scan. This research uses CT scan images
as input for the prediction model from the LUNA16 [Luna Nodule Analysis 2016]
dataset for experimenting by using ResNet 50 and VGG 16. ResNet50 showed slightly
high accuracy on test data compared to VGG16, which is 98%.
Keywords: ResNet 50, VGG 16, CNN, Lung Cancer, Deep Learning.
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