Pulmonary Diseases Detection System By Machine Learning (Pulmonary Cancer)

Abstract

Pulmonary diseases, particularly pulmonary cancer, are among the most prevalent health conditions worldwide. The primary challenge in combating pulmonary cancer and other pulmonary diseases lies in enhancing the efficiency of early diagnosis and reducing costs for patients, thus increasing the chances of treatment before the disease progresses. To address these challenges, we propose an advanced AI-powered solution for detecting pulmonary cancer and other pulmonary diseases using scanner images. The main objectives of this project include the development of an image analysis system, creation of accurate classification algorithms, design of a user-friendly interface, enhancement of early diagnosis opportunities, and the revolutionization of the diagnostic process through advanced technologies. This project is motivated by deep personal experiences, including the loss of the father and uncle of "Amira" due to lung cancer. These trials have fueled our commitment to improving early detection and diagnosis by developing a more accurate and reliable method for detecting lung cancer and other lung diseases, reducing false negative results, and improving patient outcomes.