Lung cancer detection using AI

Abstract

Disease detection by artificial intelligence introduces the importance of AI ,convolutional neural networks(CNNs) in medical image analysis for diseases especially lung cancer.Early disease detection,accuracy and consistency,time efficiency,scalability,improving healthcare outcomes are the primary need of the project.Developing a machine learning model specifically by CNNs to detect and classify lung cancer from medical images.Medical images,preprocessing techniques,feature extraction,machine learning model are methods are used here.Use of Convolutional Neural Networks,image processing techniques etc innovative approaches in this project.The key outcomes of the project is high accuracy,automated diagnosis,improved healthcare outcomes.This project "Disease Detection By Artificial Intelligence" demonstrates potential of machine learning in automating disease detection using medical images by achieving an accuracy of 94.297%