Automatic detection of lung nodules in CT datasets based on stable 3D mass–spring models
We propose a computer-aided detection (CAD) system which can detect small-sized (from
3mm) pulmonary nodules in spiral CT scans. A pulmonary nodule is a small lesion in the …
3mm) pulmonary nodules in spiral CT scans. A pulmonary nodule is a small lesion in the …
3-D segmentation algorithm of small lung nodules in spiral CT images
S Diciotti, G Picozzi, M Falchini… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Computed tomography (CT) is the most sensitive imaging technique for detecting lung
nodules, and is now being evaluated as a screening tool for lung cancer in several large …
nodules, and is now being evaluated as a screening tool for lung cancer in several large …
Automatic detection of 2D and 3D lung nodules in chest spiral CT scans
Automatic detection of lung nodules is an important problem in computer analysis of chest
radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities …
radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities …
Automatic detection of large pulmonary solid nodules in thoracic CT images
Purpose: Current computer‐aided detection (CAD) systems for pulmonary nodules in
computed tomography (CT) scans have a good performance for relatively small nodules, but …
computed tomography (CT) scans have a good performance for relatively small nodules, but …
Multistage segmentation model and SVM-ensemble for precise lung nodule detection
Purpose Lung cancer detection at its initial stages increases the survival chances of
patients. Automatic detection of lung nodules facilitates radiologists during the diagnosis …
patients. Automatic detection of lung nodules facilitates radiologists during the diagnosis …
Shape-based computer-aided detection of lung nodules in thoracic CT images
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) …
(CAD) method is proposed for detecting both solid nodules and ground-glass opacity (GGO) …
Hessian based approaches for 3D lung nodule segmentation
L Gonçalves, J Novo, A Campilho - Expert Systems with Applications, 2016 - Elsevier
In the design of computer-aided diagnosis systems for lung cancer diagnosis, an
appropriate and accurate segmentation of the pulmonary nodules in computerized …
appropriate and accurate segmentation of the pulmonary nodules in computerized …
A comprehensive framework for automatic detection of pulmonary nodules in lung CT images
Solitary pulmonary nodules may indicate an early stage of lung cancer. Hence, the early
detection of nodules is the most efficient way for saving the lives of patients. The aim of this …
detection of nodules is the most efficient way for saving the lives of patients. The aim of this …
Recent progress in computer-aided diagnosis of lung nodules on thin-section CT
Q Li - Computerized Medical Imaging and Graphics, 2007 - Elsevier
Computer-aided diagnosis (CAD) provides a computer output as a “second opinion” in order
to assist radiologists in the diagnosis of various diseases on medical images. Currently, a …
to assist radiologists in the diagnosis of various diseases on medical images. Currently, a …
Computer‐aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours
We are developing a computer‐aided diagnosis (CAD) system to classify malignant and
benign lung nodules found on CT scans. A fully automated system was designed to segment …
benign lung nodules found on CT scans. A fully automated system was designed to segment …