Abstract:

One of the deadliest malignancies in the world is lung cancer. The survival percentage for lung cancer can be considerably increased by early identification. Pulmonary nodules are the small growths of cells inside the lung. The size of the nodule determines the lung as cancerous or non- cancerous. Detection of malignant lung nodules is necessary at an early stage for necessary treatment. There are numerous techniques available for diagnosing lung cancer. Using CT (Computed Tomography) and CNN (Convolutional Neural Network) with image segmentation is one of the simplest methods. CNN is one of the deep structured algorithms widely used to analyze the ability to visualize and extract the hidden features of image datasets. The suggested approach will work well for early detection of cancer.

Description:

malignancy, CT (Computed tomography), CNN(Convolutional neural network)