Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images
- 1 December 2012
- journal article
- Published by Elsevier BV in Information Sciences
- Vol. 212, 57-78
- https://doi.org/10.1016/j.ins.2012.05.008
Abstract
No abstract availableThis publication has 26 references indexed in Scilit:
- A relevance feedback method based on genetic programming for classification of remote sensing imagesInformation Sciences, 2011
- Optimal depth estimation by combining focus measures using genetic programmingInformation Sciences, 2011
- A new computationally efficient CAD system for pulmonary nodule detection in CT imageryMedical Image Analysis, 2010
- The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and AnnotationAcademic Radiology, 2007
- Detection and differentiation of breast cancer using neural classifiers with first warning thermal sensorsInformation Sciences, 2007
- Surface Normal Overlap: A Computer-Aided Detection Algorithm With Application to Colonic Polyps and Lung Nodules in Helical CTIEEE Transactions on Medical Imaging, 2004
- Automated detection of pulmonary nodules in helical CT images based on an improved template-matching techniqueIEEE Transactions on Medical Imaging, 2001
- Automatic lung segmentation for accurate quantitation of volumetric X-ray CT imagesIEEE Transactions on Medical Imaging, 2001
- Patient-specific models for lung nodule detection and surveillance in CT imagesIEEE Transactions on Medical Imaging, 2001
- Method for segmenting chest CT image data using an anatomical model: preliminary resultsIEEE Transactions on Medical Imaging, 1997