Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer
death in the United States. Lung cancer screening using low-dose computed tomography …
death in the United States. Lung cancer screening using low-dose computed tomography …
Lung nodule and cancer detection in computed tomography screening
GD Rubin - Journal of thoracic imaging, 2015 - journals.lww.com
Fundamental to the diagnosis of lung cancer in computed tomography (CT) scans is the
detection and interpretation of lung nodules. As the capabilities of CT scanners have …
detection and interpretation of lung nodules. As the capabilities of CT scanners have …
The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans
SG Armato III, G McLennan, L Bidaut… - Medical …, 2011 - Wiley Online Library
Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well …
detection, classification, and quantitative assessment can be facilitated through a well …
Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis
This study aimed to analyze the ability of extracting automatically generated features using
deep structured algorithms in lung nodule CT image diagnosis, and compare its …
deep structured algorithms in lung nodule CT image diagnosis, and compare its …
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
T Messay, RC Hardie, SK Rogers - Medical image analysis, 2010 - Elsevier
Early detection of lung nodules is extremely important for the diagnosis and clinical
management of lung cancer. In this paper, a novel computer aided detection (CAD) system …
management of lung cancer. In this paper, a novel computer aided detection (CAD) system …
On the performance of lung nodule detection, segmentation and classification
Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …
in order to improve the survival rate of such a deadly disease. For more than two decades …
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study
B Van Ginneken, SG Armato III, B de Hoop… - Medical image …, 2010 - Elsevier
Numerous publications and commercial systems are available that deal with automatic
detection of pulmonary nodules in thoracic computed tomography scans, but a comparative …
detection of pulmonary nodules in thoracic computed tomography scans, but a comparative …
Building a reference multimedia database for interstitial lung diseases
A Depeursinge, A Vargas, A Platon… - … medical imaging and …, 2012 - Elsevier
This paper describes the methodology used to create a multimedia collection of cases with
interstitial lung diseases (ILDs) at the University Hospitals of Geneva. The dataset contains …
interstitial lung diseases (ILDs) at the University Hospitals of Geneva. The dataset contains …
A novel computer‐aided lung nodule detection system for CT images
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 …
detection of lung nodules in computed tomography images. A new mixedfeature selection …