This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Develo** an effective computer-aided …

Half a century ago, the term “computer-aided diagnosis”(CAD) was introduced in the
scientific literature. Pulmonary imaging, with chest radiography and computed tomography …

Current computed tomography (CT) technology allows for near isotropic, submillimeter
resolution acquisition of the complete chest in a single breath hold. These thin-slice chest …

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

Purpose: The paper presents a complete computer‐aided detection (CAD) system for the
detection of lung nodules in computed tomography images. A new mixedfeature selection …

Introduction The goal of this paper is to present a critical review of major Computer-Aided
Detection systems (CADe) for lung cancer in order to identify challenges for future research …

Segmentation of the lungs in chest-computed tomography (CT) is often performed as a
preprocessing step in lung imaging. This task is complicated especially in presence of …

RATIONALE AND OBJECTIVES: We have been develo** a computer-aided diagnostic
(CAD) scheme for lung nodule detection in order to assist radiologists in the detection of …

Different types of Convolutional Neural Networks (CNNs) have been applied to detect
cancerous lung nodules from computed tomography (CT) scans. However, the size of a …

Lung cancer is a disease with significant prevalence in several countries around the world.
Its difficult treatment and rapid progression make the mortality rates among people affected …