We present an in-depth review and analysis of salient methods for computer-aided detection
of lung nodules. We evaluate the current methods for detecting lung nodules using literature …

Subsolid pulmonary nodules occur less often than solid pulmonary nodules, but show a
much higher malignancy rate. Therefore, accurate detection of this type of pulmonary …

A scheme for the automatic detection of nodules in thoracic computed tomography scans is
presented and extensively evaluated. The algorithm uses the local image features of shape …

Numerous publications and commercial systems are available that deal with automatic
detection of pulmonary nodules in thoracic computed tomography scans, but a comparative …

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 …

The three-dimensional analysis on lung computed tomography scan was carried out in this
study to detect the malignant lung nodules. An automatic three-dimensional segmentation …

In this paper, a novel method for lung nodule detection, segmentation and recognition using
computed tomography (CT) images is presented. Our contribution consists of several steps …

One of the leading causes of cancer death for both men and women is the lung cancer. The
best way to improve the patient's chances for survival is the early detection of potentially …

Computer-aided detection (CADe) of pulmonary nodules is critical to assisting radiologists in
early identification of lung cancer from computed tomography (CT) scans. This paper …

Objective To demonstrate and test the validity of a novel deep-learning-based system for the
automated detection of pulmonary nodules. Materials and Methods The proposed system …