Recent advances in deep learning have given rise to high performance in image analysis
operations in healthcare. Lung diseases are of particular interest, as most can be identified …

Purpose Lung cancer usually presents as pulmonary nodules on early diagnostic images,
and accurately estimating the malignancy of pulmonary nodules is crucial to the prevention …

Lung cancer is the most dangerous and death-causing disease indicated by the presence of
pulmonary nodules in the lung. It is mostly caused by the instinctive growth of cells in the …

Simple Summary Medical image classification is an important task in computer-aided
diagnosis, medical image acquisition, and mining. Although deep learning has been shown …

Purpose Early detection is significant to reduce lung cancer‐related death. Computer‐aided
detection system (CADs) can help radiologists to make an early diagnosis. In this paper, we …

BACKGROUND: Accurate classification of benign and malignant pulmonary nodules using
chest computed tomography (CT) images is important for early diagnosis and treatment of …

Computerized tomography (CT) scan images are widely used in automatic lung cancer
detection and classification. The lung nodules' texture distribution throughout the CT scan …

Lung cancer is a leading cause of cancer-related deaths worldwide, emphasizing the
significance of early detection. Computer-aided diagnostic systems have emerged as …

Early diagnosis of lung cancer is critical as it can save people's lives. Long-range
dependencies within volumetric medical images are essential attributes for accurate lung …

Purpose Early diagnosis of lung nodules is important for the treatment of lung cancer
patients, existing capsule network-based assisted diagnostic models for lung nodule …