In this paper, a new computer tomography (CT) lung nodule computer-aided detection
(CAD) method is proposed for detecting both solid nodules and ground-glass opacity (GGO) …

In the context of clinical oncology, a fundamental goal of radiomics is the extraction of large
amounts of quantitative features whose subsequent analysis can be used for decision …

Radiomics and texture analysis represent a new option in our biomarkers arsenal. These
techniques extract a large number of quantitative features, analyzing their properties to …

In industrial requirements documents natural language is the main presentation means. In
such documents, system behavior is specified in the form of scenarios, written as a …

Objectives This work was a comparative study that aimed to find a proper method for
accurately segmenting persistent ground glass nodules (GGN) in thin-section computed …

In this paper, an efficient compute-aided detection method is proposed for detecting Ground-
Glass Opacity (GGO) nodules in thoracic CT images. GGOs represent a clinically important …

Lung cancer is one of the most profound causes of cancer‐related deaths in the world. Early
detection is known to significantly improve the chances of survival. Several detection and …

Lung nodule detection, especially ground glass opacity (GGO) detection, in helical
computed tomography (CT) images is a challenging computer-aided detection (CAD) task …

We propose an energy-efficient service discovery protocol for wireless sensor networks. Our
solution exploits a cluster overlay, where the clusterhead nodes form a distributed service …

We present a 3D deep neural network known as URDNet for detecting ground‐glass opacity
(GGO) nodules in 3D CT images. Prior work on GGO detection repurposes classifiers on a …