International Journal of Scientific Research and Engineering Development

Lung cancer is a reason why a lot of people die from cancer all over the world[1]. If doctors can find lung cancer early then people are more likely to survive lung cancer[1]. Doctors usually look at pictures from a CT scan. They use it to check for lung cancer[2]. The pictures, from the CT scan help doctors see what is going on inside the body. They can then check these pictures for lung cancer[2]. People also use a type of computer program called a 2D CNN (Convolutional Neural Network) to help them find lung cancer. They use this 2D CNN to look at pictures and find lung cancer. The 2D CNN is very good at helping people find lung cancer. This project is about creating a computer program that can find and sort out lung cells these lung cells are called nodules. The program uses 3D Convolutional Neural Networks (or) 3D CNNs to do this[1]. This project is about looking at the lung scan all at once instead of looking at one part of the lung scan at a time. The program looks at the lung scan, which is made up of lung nodules and it tries to find all of the lung nodules, in the lung scan. The thing about lung scans is that they can be really hard to read. That is where 3D CNNs come in. They help the program look at the lung scan. Find the pulmonary nodules. 3D CNNs look at things in three dimensions. They use units of information called voxels[1]. Voxels help get a picture of what the bad cells look like. The 3D approach is useful because it helps us see the shape and texture of the cells. It also shows us where the cells are located in the lung. This project uses 3D CNNs to make all of this happen. The 3D CNNs are what make it possible to get a better look at the lung scan and find the pulmonary nodules. The 3D CNNs are really good at helping us understand the cells in the lung. The 3D CNNs are very helpful when it comes to the cells, in the lung.

J.Ravindra Babu, B.Sandeep Raghavendra, A.Jaswanth Kumar, G.Vignan, J.Ganesh, K.Madhu,"Volumetric CT Scan Analysis for Pulmonary Nodule Detection and Malignancy Classification Using 3D CNN Architectures" International Journal of Scientific Research and Engineering Development, V9(2): Page(995-1001) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.