Early Diagnosis of Lung Cancer with Advanced ALCDC System and Deep Learning-Based CNN Algorithm

Abstract

Abstract: This research paper presents a study on the use of an advanced ALCDC system, which utilizes a deep learning-based convolutional neural network (CNN) algorithm, for early detection of lung cancer. The purpose of this study is to evaluate the effectiveness of this system in detecting lung cancer at an early stage and to compare its performance with traditional detection methods.Lung cancer is the leading cause of cancer-related deaths worldwide, with a high mortality rate due to late diagnosis. Therefore, early detection of lung cancer is crucial for successful treatment and improving patient outcomes. Traditional methods of lung cancer detection, such as chest X-rays and CT scans, have limitations in terms of accuracy and efficiency. Recent advancements in AI and deep learning algorithms, such as CNNs, have shown promise in improving the accuracy and efficiency of lung cancer detection.In comparison to traditional detection methods, the ALCDC system showed a significant improvement in accuracy and efficiency. The system was able to detect lung nodules at an earlier stage, which is critical for successful treatment and improving patient outcomes.