Feature fusion for lung nodule classification

[1] Zaho B(2003)Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm J Appl Clin Med Phys 4 248-260

[2] Gamsu G(2012)Decision making in patients with pulmonary nodules Am J Respir Crit Care Med 185 363-372

[3] Ginsberg MS(2015)Improved pulmonary nodule classification utilizing lung parenchyma texture features J Med Imaging 2 041004-405

[4] Jiang L(2006)Computer analysis of computed tomography scans of the lung: a survey IEEE Trans Med Imaging 25 385-604

[5] Schwartz LH(2001)Automated detection of pulmonary nodules in helical ct images based on an improved template-matching technique IEEE Trans Med Imaging 20 595-1274

[6] Ost DE(2003)Three dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical ct images IEEE Trans Med Imaging 22 1259-52

[7] Gould MK(2004)Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up Radiology 231 446-163

[8] Dilger SK(2010)Automated detection of lung nodules in computed tomography images: a review Mach Vis Appl 23 151-88

[9] Judisch A(2015)Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine. Biomed Eng Online 14 9-748

[10] Uthoff J(2015)Automated pulmonary nodule CT image characterization in lung cancer screening Int J Comput Assist Radiol Surg 11 73-581

[1] Zaho B(2003)Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm J Appl Clin Med Phys 4 248-260

[2] Gamsu G(2012)Decision making in patients with pulmonary nodules Am J Respir Crit Care Med 185 363-372

[3] Ginsberg MS(2015)Improved pulmonary nodule classification utilizing lung parenchyma texture features J Med Imaging 2 041004-405

[4] Jiang L(2006)Computer analysis of computed tomography scans of the lung: a survey IEEE Trans Med Imaging 25 385-604

[5] Schwartz LH(2001)Automated detection of pulmonary nodules in helical ct images based on an improved template-matching technique IEEE Trans Med Imaging 20 595-1274

[6] Ost DE(2003)Three dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical ct images IEEE Trans Med Imaging 22 1259-52

[7] Gould MK(2004)Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up Radiology 231 446-163

[8] Dilger SK(2010)Automated detection of lung nodules in computed tomography images: a review Mach Vis Appl 23 151-88

[9] Judisch A(2015)Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine. Biomed Eng Online 14 9-748

[10] Uthoff J(2015)Automated pulmonary nodule CT image characterization in lung cancer screening Int J Comput Assist Radiol Surg 11 73-581