Automatic detection of multisize pulmonary nodules in CT images: Large-scale validation of the false-positive reduction step

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

(2017) Qi Dou et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy

(2016) Macedo Firmino et al.   Biomedical Engineering Online

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine

(2015) Hiram Madero Orozco et al.   Biomedical Engineering Online

Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset

(2015) Temesguen Messay et al.   MEDICAL IMAGE ANALYSIS

Hybrid detection of lung nodules on CT scan images

(2015) Lin Lu et al.   MEDICAL PHYSICS

Large scale validation of the M5L lung CAD on heterogeneous CT datasets

(2015) E. Lopez Torres et al.   MEDICAL PHYSICS

Automatic detection of large pulmonary solid nodules in thoracic CT images

(2015) Arnaud A. A. Setio et al.   MEDICAL PHYSICS

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

(2015) M Vallières et al.   PHYSICS IN MEDICINE AND BIOLOGY

Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends

(2015) Awais Mansoor et al.   RADIOGRAPHICS

Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme

(2015) Hao Han et al.   IEEE Journal of Biomedical and Health Informatics

Toward clinically usable CAD for lung cancer screening with computed tomography

(2014) Matthew S. Brown et al.   EUROPEAN RADIOLOGY

Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules

(2013) Maxine Tan et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Cancer incidence and mortality patterns in Europe: Estimates for 40 countries in 2012

(2013) J. Ferlay et al.   EUROPEAN JOURNAL OF CANCER

Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images

(2013) Colin Jacobs et al.   MEDICAL IMAGE ANALYSIS

Automatic detection of lung nodules in CT datasets based on stable 3D mass–spring models

(2012) D. Cascio et al.   COMPUTERS IN BIOLOGY AND MEDICINE

NELSON lung cancer screening study

(2012) Ying Ru Zhao et al.   CANCER IMAGING

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

(2011)   NEW ENGLAND JOURNAL OF MEDICINE

On Combining Computer-Aided Detection Systems

(2010) Meindert Niemeijer et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study

(2010) Bram van Ginneken et al.   MEDICAL IMAGE ANALYSIS

A new computationally efficient CAD system for pulmonary nodule detection in CT imagery

(2010) Temesguen Messay et al.   MEDICAL IMAGE ANALYSIS

Methodology for automatic detection of lung nodules in computerized tomography images

(2009) João Rodrigo Ferreira da Silva Sousa et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A novel multithreshold method for nodule detection in lung CT

(2009) Bruno Golosio et al.   MEDICAL PHYSICS

A Hu moment invariant as a shape circularity measure

(2009) Joviša Žunić et al.   PATTERN RECOGNITION

Lung nodule detection in low-dose and thin-slice computed tomography

(2008) A. Retico et al.   COMPUTERS IN BIOLOGY AND MEDICINE