Using images from the Image Database Consortium and Image Database Resource
Initiative (LIDC–IDRI), we developed a methodology for classifying lung nodules. The …

Lung cancer is the major cause of death among patients with cancer worldwide. This work is
intended to develop a methodology for the diagnosis of lung nodules using images from the …

This work is focused on application of a new technique in the first steps of computer-aided
detection (CAD) of lung nodules. The scheme includes segmenting the lung volume and …

An alternative method for diagnosing malignant lung nodules by their shape rather than
conventional growth rate is proposed. The 3D surfaces of the detected lung nodules are …

Computed tomography imaging is a standard modality for detecting and assessing lung
cancer. In order to evaluate the malignancy of lung nodules, clinical practice often involves …

The lung tumor is among the most detrimental kinds of malignancy. It has a high occurrence
rate and a high death rate, as it is frequently diagnosed at the later stages. Computed …

Computer-aided detection (CAD) can help radiologists to detect pulmonary nodules at an
early stage. In pulmonary nodule CAD systems, feature extraction is very important for …

Lungs cancer is a fatal disease. However, its early detection increases the chances of
survival among patients. An automated nodule detection system provides the second …

Lung cancer is still the most concerned disease around the world. Lung nodule generates in
the pulmonary parenchyma which indicates the latent risk of lung cancer. Computer-aided …

Computer-aided detection (CAD) systems provide useful tools and an advantageous
process to physicians aiming to detect lung nodules. This paper develops a method …