Background: The increasing utilization of low-dose spiral CT for early lung cancer screening
has underscored the importance of accurately distinguishing between benign and malignant …

Low-dose computed tomography (CT) screening has been widely used to detect and
diagnose early stage lung cancer. Clinical trials have shown that low-dose CT reduced lung …

The goal of this study is to train and assess the performance of a deep 3D convolutional
network (3D-CNN) in classifying indeterminate lung nodules as either benign or malignant …

Enhancing lung cancer diagnosis requires precise early detection methods. This study
introduces an automated diagnostic system leveraging computed tomography (CT) scans for …

Background: Characterized by rapid metastasis and a significant death rate, lung cancer
presents a formidable challenge, which underscores the critical role of early detection in …

Importance There has been growing interest in the use of artificial intelligence (deep
learning) to help achieve early diagnosis of prevalent diseases. None moreso than in lung …

Background Lung Cancer is among the most common cancer types, and is the leading
cause of cancer deaths worldwide. Lung cancer screening penetration remains low with …

Background Radiomics, a quantitative imaging analysis technique powered by artificial
intelligence, holds promise for lung cancer diagnosis. However, conventional radiomic …

Lung cancer, renowned for having the highest global incidence and mortality rates among
all cancers, presents a promising avenue for improving survival rates through early detection …

Lung cancer screening (LCS) using annual computed tomography (CT) scanning
significantly reduces mortality by detecting cancerous lung nodules at an earlier stage. Deep …