Hybrid detection of lung nodules on CT scan images

Cancer statistics, 2013

(2013) Rebecca Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy

(2012) M. Häfner et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

High performance lung nodule detection schemes in CT using local and global information

(2012) Wei Guo et al.   MEDICAL PHYSICS

Fully Automated Colon Segmentation for the Computation of Complete Colon Centerline in Virtual Colonoscopy

(2011) Lin Lu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

(2011) Maxine Tan et al.   MEDICAL PHYSICS

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

(2010) Temesguen Messay et al.   MEDICAL IMAGE ANALYSIS

The National Lung Screening Trial: Overview and Study Design

(2010)   RADIOLOGY

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

Detection of Nodules Showing Ground-Glass Opacity in the Lungs at Low-Dose Multidetector Computed Tomography

(2009) Yoshinori Funama et al.   JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY

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 novel multithreshold method for nodule detection in lung CT

(2009) Bruno Golosio et al.   MEDICAL PHYSICS

Three-Dimensional Blood Vessel Quantification via Centerline Deformation

(2008) Dong-Goo Kang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING