An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy
Tài liệu tham khảo
Lee, 2012, Automated detection of lung nodules in computed tomography images: a review, Mach. Vis. Appl., 23, 151, 10.1007/s00138-010-0271-2
Aberle, 2011, Reduced lung-cancer mortality with low-dose computed tomographic screening, N. Engl. J. Med., 365, 395, 10.1056/NEJMoa1102873
Screening for lung cancer. 〈http://www.lungcancer.org/find_information/publications/163-lung_cancer_101/274-screening〉.
Li, 2007, Recent progress in computer-aided diagnosis of lung nodules on thin-section CT, Comput. Med. Imag. Graph., 31, 248, 10.1016/j.compmedimag.2007.02.005
Marten, 2005, Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance, Clin. Radiol., 60, 196, 10.1016/j.crad.2004.05.014
Retico, 2008, Lung nodule detection in low-dose and thin-slice computed tomography, Comput. Biol. Med., 38, 525, 10.1016/j.compbiomed.2008.02.001
Armato, 2004, Automated lung segmentation for thoracic CT: impact on computer-aided diagnosis1, Acad. Radiol., 11, 1011, 10.1016/j.acra.2004.06.005
Pu, 2008, Adaptive border marching algorithm: automatic lung segmentation on chest CT images, Comput. Med. Imag. Graph., 32, 452, 10.1016/j.compmedimag.2008.04.005
Ali Asem M., Ayman S. El-Baz, Farag Aly A. A novel framework for accurate lung segmentation using graph cuts, in: 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. IEEE, 2007.
Ali, 2008, Automatic lung segmentation of volumetric low-dose CT scans using graph cuts, 258
Screening for Lung Cancer, Topic Page. U.S. Preventive Services Task Force. 〈http://www.uspreventiveservi-cestaskforce.org/uspstf/uspslung.htm〉.
Hedlund, 1982, Two methods for isolating the lung area of a CT scan for density information, Radiology, 144, 353, 10.1148/radiology.144.2.7089289
Das, 2006, Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance, Radiology, 241, 564, 10.1148/radiol.2412051139
Hu, 2001, Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images, IEEE Trans. Med. Imag., 20, 490, 10.1109/42.929615
Bae, 2005, Pulmonary nodules: automated detection on CT images with morphologic matching algorithm—preliminary results, Radiology, 236, 286, 10.1148/radiol.2361041286
Sun, 2006, 3D computerized segmentation of lung volume with computed tomography, Acad. Radiol., 13, 670, 10.1016/j.acra.2006.02.039
Armato, 1998, Automated lung segmentation in digitized posteroanterior chest radiographs, Acad. Radiol., 5, 245, 10.1016/S1076-6332(98)80223-7
Brown, 1997, Method for segmenting chest CT image data using an anatomical model: preliminary results, IEEE Trans. Med. Imag., 16, 828, 10.1109/42.650879
Brown, 2000, Knowledge-based segmentation of thoracic computed tomography images for assessment of split lung function, Med. Phys., 27, 592, 10.1118/1.598898
Wang, 2009, Automated segmentation of lungs with severe interstitial lung disease in CT, Med. Phys., 36, 4592, 10.1118/1.3222872
Kim, 2003, Pulmonary nodule detection using chest CT images, Acta Radiol., 44, 252, 10.1080/j.1600-0455.2003.00061.x
Ko, 2001, Chest CT: automated nodule detection and assessment of change over time—preliminary experience, Radiology, 218, 267, 10.1148/radiology.218.1.r01ja39267
Korfiatis, 2008, Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT, Med. Phys., 35, 5290, 10.1118/1.3003066
Prasad, 2008, Automatic segmentation of lung parenchyma in the presence of diseases based on curvature of ribs, Acad. Radiol., 15, 1173, 10.1016/j.acra.2008.02.004
Pu, 2008, An automated CT based lung nodule detection scheme using geometric analysis of signed distance field, Med. Phys., 35, 3453, 10.1118/1.2948349
Ingrid, 2005, Toward automated segmentation of the pathological lung in CT, IEEE Trans. Med. Imag., 24, 1025, 10.1109/TMI.2005.851757
Hua, Panfang, et al., Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm, in: IEEE International Symposium on Biomedical Imaging: from Nano to Macro, 2011.
Sun, 2012, Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach, IEEE Trans. Med. Imag., 31, 449, 10.1109/TMI.2011.2171357
van Rikxoort, 2009, Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection, Med. Phys., 36, 2934, 10.1118/1.3147146
Jacobs, 2011, 207
Maxine, 2011, A novel computer-aided lung nodule detection system for CT images, Med. Phys., 38, 5630, 10.1118/1.3633941
Messay, 2010, A new computationally efficient CAD system for pulmonary nodule detection in CT imagery, Med. Image. Anal., 14, 390, 10.1016/j.media.2010.02.004
Murphy, 2009, A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification, Med. Image. Anal., 13, 757, 10.1016/j.media.2009.07.001
Retico, 2008, Lung nodule detection in low-dose and thin-slice computed tomography, Comput. Biol. Med., 38, 525, 10.1016/j.compbiomed.2008.02.001
Riccardi, 2011, Computer-aided detection of lung nodules via 3D fast radial transform, scale space representation, and Zernike MIP classification, Med. Phys., 38, 1962, 10.1118/1.3560427
Choi, 2012, Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images, Inf. Sci., 212, 57, 10.1016/j.ins.2012.05.008
Ye, 2009, Shape-based computer-aided detection of lung nodules in thoracic CT images, IEEE Trans. Biomed. Eng., 56, 1810, 10.1109/TBME.2009.2017027
National Cancer Institute, Lung Image Database Consortium 〈http://imaging.cancer.gov/programsandresources/-InformationSystems/LIDC/page2〉.
Otsu, 1975, A threshold selection method from gray-level histograms, Automatica, 11, 23
Gonzalez, 2002
McNitt-Gray, 2007, The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation, Acad. Radiol., 14, 1464, 10.1016/j.acra.2007.07.021
Varshini, 2012, An improved adaptive border marching algorithm for inclusion of juxtapleural nodule in lung segmentation of CT-images, 230
Barros Netto, 2012, Automatic segmentation of lung nodules with growing neural gas and support vector machine, Comput. Biol. Med., 42, 1110, 10.1016/j.compbiomed.2012.09.003
Rubin, 2005, Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection, Radiology, 234, 274, 10.1148/radiol.2341040589
Jarvis, 1973, On the identification of the convex hull of a finite set of points in the plane, Inf. Process. Lett., 2.1, 18, 10.1016/0020-0190(73)90020-3
Choi, 2013, Automated pulmonary nodule detection system in computed tomography images: a hierarchical block classification approach, Entropy, 15, 507, 10.3390/e15020507
Wei, 2013, A fully automatic method for lung parenchyma segmentation and repairing, J. Dig. Imag., 26, 483, 10.1007/s10278-012-9528-9