Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives
暂无分享,去创建一个
[1] Xue Wang,et al. Supervised recursive segmentation of volumetric CT images for 3D reconstruction of lung and vessel tree , 2015, Comput. Methods Programs Biomed..
[2] S. Armato,et al. Automated detection of lung nodules in CT scans: preliminary results. , 2001, Medical physics.
[3] Edward R. Dougherty,et al. Hands-on Morphological Image Processing , 2003 .
[4] Önder Demir,et al. Computer-aided detection of lung nodules using outer surface features. , 2015, Bio-medical materials and engineering.
[5] Jin Mo Goo,et al. Pulmonary nodule registration in serial CT scans using global rib matching and nodule template matching , 2014, Comput. Biol. Medicine.
[6] Anthony P. Reeves,et al. Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images , 2003, IEEE Transactions on Medical Imaging.
[7] Karen Drukker,et al. LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. , 2015, Journal of medical imaging.
[8] C. Schmid,et al. Scale-invariant shape features for recognition of object categories , 2004, CVPR 2004.
[9] L. Schwartz,et al. Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm , 2003, Journal of applied clinical medical physics.
[10] Richard C. Pais,et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. , 2011, Medical physics.
[11] D. Naidich,et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. , 2013, Chest.
[12] M. L. R. D. Christenson,et al. Guidelines for Management of Small Pulmonary Nodules Detected on CT Scans: A Statement From the Fleischner Society , 2006 .
[13] Michael K Gould,et al. Decision making in patients with pulmonary nodules. , 2012, American journal of respiratory and critical care medicine.
[14] Vikrant Bhateja,et al. A novel framework for edge detection of microcalcifications using a non-linear enhancement operator and morphological filter , 2011, 2011 3rd International Conference on Electronics Computer Technology.
[15] Kathleen Brown,et al. Lung Cancer Staging: Clinical and Radiologic Perspectives , 2013, Seminars in Interventional Radiology.
[16] Rafael Wiemker,et al. Performance analysis for computer-aided lung nodule detection on LIDC data , 2007, SPIE Medical Imaging.
[17] R. Umamaheswari,et al. Texture Pattern Based Lung Nodule Detection (TPLND) Technique in CT Images , 2014 .
[18] E. N. Ganesh,et al. Proposed Technique for Accurate Detection/Segmentation of Lung Nodules using Spline Wavelet Techniques , 2013, International journal of biomedical science : IJBS.
[19] S. Vaughndill. TUMOR AND NORMAL TISSUE MOTION IN THE THORAX DURING RESPIRATION: ANALYSIS OF VOLUMETRIC AND POSITIONAL VARIATIONS USING 4D CT , 2007 .
[20] Edgardo Manuel Felipe Riverón,et al. Quantitative analysis of morphological techniques for automatic classification of micro-calcifications in digitized mammograms , 2014, Expert Syst. Appl..
[21] Jamshid Dehmeshki,et al. Automated detection of lung nodules in CT images using shape-based genetic algorithm , 2007, Comput. Medical Imaging Graph..
[22] Jan Kybic,et al. Automatic two-step detection of pulmonary nodules , 2007, SPIE Medical Imaging.
[23] Kpalma Kidiyo,et al. A Survey of Shape Feature Extraction Techniques , 2008 .
[24] B. van Ginneken,et al. Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans , 2015, Physics in medicine and biology.
[25] Khalid Saeed,et al. Implementation and Advanced Results on the Non-interrupted Skeletonization Algorithm , 2001, CAIP.
[26] Lin Lu,et al. Hybrid detection of lung nodules on CT scan images. , 2015, Medical physics.
[27] Tsuyoshi Kawaguchi,et al. Automated detection of lung nodules in chest radiographs using a false-positive reduction scheme based on template matching , 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.
[28] Jorge Juan Suárez-Cuenca,et al. Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images , 2009, Comput. Biol. Medicine.
[29] A.A. Farag,et al. Experiments on Sensitivity of Template Matching for Lung Nodule Detection in Low Dose CT Scans , 2007, 2007 IEEE International Symposium on Signal Processing and Information Technology.
[30] Ehdi,et al. A COMPREHENSIVE FRAMEWORK FOR AUTOMATIC DETECTION OF PULMONARY NODULES IN LUNG CT IMAGES , 2014 .
[31] O. Ucan,et al. Nodule Detection in a Lung Region that's Segmented with Using Genetic Cellular Neural Networks and 3D Template Matching with Fuzzy Rule Based Thresholding , 2008, Korean journal of radiology.
[32] Li Cao,et al. A detection approach for solitary pulmonary nodules based on CT images , 2012, Proceedings of 2012 2nd International Conference on Computer Science and Network Technology.
[33] Piergiorgio Cerello,et al. A novel multithreshold method for nodule detection in lung CT. , 2009, Medical physics.
[34] Tae-Sun Choi,et al. Automated Pulmonary Nodule Detection System in Computed Tomography Images: A Hierarchical Block Classification Approach , 2013, Entropy.
[35] G. Guyatt,et al. Physicians Evidence-Based Clinical Practice Development : American College of Chest Thrombolytic Therapy Guideline Methodology for Antithrombotic and , 2008 .