The utilisation of convolutional neural networks in detecting pulmonary nodules: a review

Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs

(2017) Mark Cicero et al.   INVESTIGATIVE RADIOLOGY

Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

(2017) Heber MacMahon et al.   RADIOLOGY

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Pulmonary nodule classification with deep residual networks

(2017) Aiden Nibali et al.   International Journal of Computer Assisted Radiology and Surgery

Estimation of lung cancer burden in Australia, the Philippines, and Singapore: an evaluation of disability adjusted life years

(2017) Morampudi Suman et al.   Cancer Biology & Medicine

Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images

(2016) Wei Li et al.   Computational and Mathematical Methods in Medicine

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

(2016) Jie-Zhi Cheng et al.   Scientific Reports

Lung Nodule and Cancer Detection in Computed Tomography Screening

(2015) Geoffrey D. Rubin   JOURNAL OF THORACIC IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Characterizing Search, Recognition, and Decision in the Detection of Lung Nodules on CT Scans: Elucidation with Eye Tracking

(2015) Geoffrey D. Rubin et al.   RADIOLOGY

ACR CT Accreditation Program and the Lung Cancer Screening Program Designation

(2015) Ella A. Kazerooni et al.   Journal of the American College of Radiology

Screening for Lung Cancer With Low-Dose Computed Tomography: A Systematic Review to Update the U.S. Preventive Services Task Force Recommendation

(2013) Linda L. Humphrey et al.   ANNALS OF INTERNAL MEDICINE

Treatment of Lung Cancer

(2012) Shirish M. Gadgeel et al.   RADIOLOGIC CLINICS OF NORTH AMERICA

A novel computer-aided lung nodule detection system for CT images

(2011) Maxine Tan et al.   MEDICAL PHYSICS

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

Performance of Radiologists in Detection of Small Pulmonary Nodules on Chest Radiographs: Effect of Rib Suppression With a Massive-Training Artificial Neural Network

(2009) Seitaro Oda et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance

(2009) Justus E. Roos et al.   EUROPEAN RADIOLOGY

Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images

(2009) Xujiong Ye et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification

(2009) K. Murphy et al.   MEDICAL IMAGE ANALYSIS

A supervised ‘lesion-enhancement’ filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD)

(2009) Kenji Suzuki   PHYSICS IN MEDICINE AND BIOLOGY