Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan

Lung adenocarcinoma diagnosis in one stage

(2019) Pengyi Hao et al.   NEUROCOMPUTING

Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

(2019) Jing Gong et al.   EUROPEAN RADIOLOGY

Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule

(2018) Li Fan et al.   EUROPEAN RADIOLOGY

3D convolutional neural network for differentiating pre-invasive lesions from invasive adenocarcinomas appearing as ground-glass nodules with diameters ≤3 cm using HRCT

(2018) Shengping Wang et al.   QUANTITATIVE IMAGING IN MEDICINE AND SURGERY

Predictors of Pathologic Tumor Invasion and Prognosis for GGO Featured Lung Adenocarcinoma

(2018) Ting Ye et al.   ANNALS OF THORACIC SURGERY

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas

(2018) Wei Zhao et al.   CANCER RESEARCH

Fusion of quantitative imaging features and serum biomarkers to improve performance of computer‐aided diagnosis scheme for lung cancer: A preliminary study

(2018) Jing Gong et al.   MEDICAL PHYSICS

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

(2018) Niha Beig et al.   RADIOLOGY

Distinct Clinicopathologic Characteristics and Prognosis Based on the Presence of Ground Glass Opacity Component in Clinical Stage IA Lung Adenocarcinoma

(2018) Aritoshi Hattori et al.   Journal of Thoracic Oncology

Quantitative CT analysis of pulmonary pure ground-glass nodule predicts histological invasiveness

(2017) Qiong Li et al.   EUROPEAN JOURNAL OF RADIOLOGY

Software-based risk stratification of pulmonary adenocarcinomas manifesting as pure ground glass nodules on computed tomography

(2017) Ursula Nemec et al.   EUROPEAN RADIOLOGY

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

(2017) Shuo Wang et al.   MEDICAL IMAGE ANALYSIS

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

(2017) Heber MacMahon et al.   RADIOLOGY

Analysis of pulmonary pure ground-glass nodule in enhanced dual energy CT imaging for predicting invasive adenocarcinoma: comparing with conventional thin-section CT imaging

(2017) Ying Zhang et al.   Journal of Thoracic Disease

The IASLC Lung Cancer Staging Project: Summary of Proposals for Revisions of the Classification of Lung Cancers with Multiple Pulmonary Sites of Involvement in the Forthcoming Eighth Edition of the TNM Classification

(2016) Frank C. Detterbeck et al.   Journal of Thoracic Oncology

Quantitative CT analysis of pulmonary ground-glass opacity nodules for distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma: the added value of using iodine mapping

(2015) Ji Ye Son et al.   EUROPEAN RADIOLOGY

Quantitative Computed Tomography Imaging Biomarkers in the Diagnosis and Management of Lung Cancer

(2015) Hyungjin Kim et al.   INVESTIGATIVE RADIOLOGY

Computerized Texture Analysis of Persistent Part-Solid Ground-Glass Nodules: Differentiation of Preinvasive Lesions from Invasive Pulmonary Adenocarcinomas

(2014) Hee-Dong Chae et al.   RADIOLOGY

International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma

(2011) William D. Travis et al.   Journal of Thoracic Oncology

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

About the relationship between ROC curves and Cohen's kappa

(2007) Arie Ben-David   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE