This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …

Computer aided detection system was developed to identify the pulmonary nodules to
diagnose the cancer cells. Main aim of this research enables an automated image analysis …

Lung cancer is one of the most life-threatening cancers mostly indicated by the presence of
nodules in the lung. Doctors and radiological experts use High-Resolution Computed …

Automatic segmentation and classification of fused lung Computed Tomography (CT) and
Positron Emission Tomography (PET) images is presented. This system consists of four …

In this work, we present a novel visual perception-inspired local description approach as a
preprocessing step for deep learning. With the ongoing growth of visual data, efficient image …

Deep learning architectures have transformed data analytics in geosciences,
complementing traditional approaches to geological problems. Although deep learning …

Solitary pulmonary nodules are the main manifestation of pulmonary lesions. Doctors often
make diagnosis by observing the lung CT images. In order to further study the brain …

The deficiencies of existing polyp detection methods remain: i) They primarily depend on the
manually extracted features and require considerable amounts of preprocessing. ii) Most …

Pulmonary nodules have been found as the main pathological change in the lung. Signs of
pulmonary nodule lay the major basis for the recognition of the benign and malignant of …

This paper summarizes the literature on computer-aided detection (CAD) systems used to
identify and diagnose lung nodules in images obtained with computed tomography (CT) …