Application of Artificial Intelligence in Early Detection of Lung Cancer

Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered as the early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease.

The book discusses topics such as basics of lung cancer imaging; pattern recognition techniques; deep learning; and nodule detection and localization. In addition, it discusses risk prediction based on radiological analysis and 3D modeling.

It is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer.