Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …

To reduce the number of missed or misdiagnosed lung nodules on CT scans by radiologists,
many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are …

Advancements in the development of computer-aided decision (CAD) systems for clinical
routines provide unquestionable benefits in connecting human medical expertise with …

Lung cancer represents a significant global health challenge, transcending demographic
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …

Lung nodule classification plays an important role in diagnosis of lung cancer which is
essential to patients' survival. However, because the number of lung CT images in current …