Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer

A classifier integrating plasma biomarkers and radiological characteristics for distinguishing malignant from benign pulmonary nodules

(2017) Yanli Lin et al.   INTERNATIONAL JOURNAL OF CANCER

A Prediction Model Based on Biomarkers and Clinical Characteristics for Detection of Lung Cancer in Pulmonary Nodules

(2017) Jie Ma et al.   Translational Oncology

Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules

(2016) Ying Liu et al.   CLINICAL CANCER RESEARCH

Predicting Malignant Nodules from Screening CT Scans

(2016) Samuel Hawkins et al.   Journal of Thoracic Oncology

Individually optimized contrast-enhanced 4D-CT for radiotherapy simulation in pancreatic ductal adenocarcinoma

(2016) Wookjin Choi et al.   MEDICAL PHYSICS

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Positron emission tomography/computerized tomography for tumor response assessment—a review of clinical practices and radiomics studies

(2016) Wei Lu et al.   Translational Cancer Research

Radiomics applied to lung cancer: a review

(2016) Madeleine Scrivener et al.   Translational Cancer Research

Performance of Lung-RADS in the National Lung Screening Trial

(2015) Paul F. Pinsky et al.   ANNALS OF INTERNAL MEDICINE

Performance of ACR Lung-RADS in a Clinical CT Lung Screening Program

(2015) Brady J. McKee et al.   Journal of the American College of Radiology

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

(2014) Fangfang Han et al.   JOURNAL OF DIGITAL IMAGING

Test–Retest Reproducibility Analysis of Lung CT Image Features

(2014) Yoganand Balagurunathan et al.   JOURNAL OF DIGITAL IMAGING

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

(2014) Chintan Parmar et al.   PLoS One

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

(2014) Yoganand Balagurunathan et al.   Translational Oncology

Overdiagnosis in Low-Dose Computed Tomography Screening for Lung Cancer

(2014) Edward F. Patz et al.   JAMA Internal Medicine

Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor

(2013) Wook-Jin Choi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Modeling Pathologic Response of Esophageal Cancer to Chemoradiation Therapy Using Spatial-Temporal 18F-FDG PET Features, Clinical Parameters, and Demographics

(2013) Hao Zhang et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Results of the Two Incidence Screenings in the National Lung Screening Trial

(2013) Denise R. Aberle et al.   NEW ENGLAND JOURNAL OF MEDICINE

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images

(2012) Wook-Jin Choi et al.   INFORMATION SCIENCES

Spatial-Temporal [18F]FDG-PET Features for Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemoradiation Therapy

(2012) Shan Tan et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY 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

Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction

(2010) Michael C. Lee et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Computer-aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features

(2009) Ted W. Way et al.   MEDICAL PHYSICS