Lung Cancer Detection Using Convolutional Neural Network in Machine Learning

Lung Cancer Detection Using Convolutional Neural Network in Machine Learning

연구 분야: Artificial Intelligence

학회: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Lung cancer is a life-threatening disease that is time consuming to detect. The survival rate of patients who are suffering from this disease is very low. We need a model that detects lung cancer effectively so that proper measures can be taken to improve the survival rate of the people affected by it. Hence, a new model using a classifier based on CNNs to detect lung cancer in CT images of various patients is proposed in this paper. In this model, we pursue an approach in which we initially build the Convolutional Neural Network. This process is followed by the fitting of Convolutional Neural Network into images, which results in a trained system. This trained system is then tested with some more images and is then capable of determining the presence of lung cancer in images on its own, and classify the images as containing cancer or not, effectively.