Fully automatic detection of lung nodules in CT images using a hybrid feature set

Automatic 3D pulmonary nodule detection in CT images: A survey

(2016) Igor Rafael S. Valente et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images

(2016) Sheeraz Akram et al.   Journal of Medical Imaging and Health Informatics

Classification of Pulmonary Nodules by Using Hybrid Features

(2013) Ahmet Tartar et al.   Computational and Mathematical Methods in Medicine

Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set

(2013) Tao Sun et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

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

Automated Pulmonary Nodule Detection System in Computed Tomography Images: A Hierarchical Block Classification Approach

(2013) Wook-Jin Choi et al.   Entropy

Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study

(2013) Atsushi Teramoto et al.   International Journal of Computer Assisted Radiology and Surgery

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

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

Random forest based lung nodule classification aided by clustering

(2010) S.L.A. Lee et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

An identification method of malignant and benign liver tumors from ultrasonography based on GLCM texture features and fuzzy SVM

(2010) Guang-ming Xian   EXPERT SYSTEMS WITH APPLICATIONS

On Combining Computer-Aided Detection Systems

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

Shape “Break-and-Repair” Strategy and Its Application to Automated Medical Image Segmentation

(2010) Jiantao Pu et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

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

(2010) Temesguen Messay et al.   MEDICAL IMAGE ANALYSIS

Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models

(2010) Toshiro Kubota 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

Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images

(2009) Jorge Juan Suárez-Cuenca et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Pleural nodule identification in low-dose and thin-slice lung computed tomography

(2009) A. Retico et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

A Survey on the Application of Genetic Programming to Classification

(2009) P.G. Espejo et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Automatic Lung Segmentation in CT Images with Accurate Handling of the Hilar Region

(2009) Giorgio De Nunzio et al.   JOURNAL OF DIGITAL IMAGING

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

Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection

(2009) Eva M. van Rikxoort et al.   MEDICAL PHYSICS

Computerized Lung Nodule Detection Using 3D Feature Extraction and Learning Based Algorithms

(2008) Serhat Ozekes et al.   JOURNAL OF MEDICAL SYSTEMS