Content-based image retrieval for pulmonary computed tomography nodule images
暂无分享,去创建一个
Jacob D. Furst | Daniela Stan Raicu | Tim Disney | Michael O. Lam | Mailan Pham | Ruchaneewan Susomboon | J. Furst | D. Raicu | Ruchaneewan Susomboon | Tim Disney | M. Lam | M. Pham
[1] A. Kak,et al. Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment. , 2003, Radiology.
[2] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[3] O. Miettinen,et al. Early Lung Cancer Action Project: overall design and findings from baseline screening , 1999, The Lancet.
[4] Carla E. Brodley,et al. ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases , 1999, Comput. Vis. Image Underst..
[5] Johan Montagnat,et al. Texture based medical image indexing and retrieval: application to cardiac imaging , 2004, MIR '04.
[6] Jacob D. Furst,et al. Wavelet-based texture classification of tissues in computed tomography , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).
[7] D. Hansell,et al. Obstructive lung diseases: texture classification for differentiation at CT. , 2003, Radiology.
[8] U. G. Dailey. Cancer,Facts and Figures about. , 2022, Journal of the National Medical Association.
[9] Stan Z. Li,et al. Markov Random Field Modeling in Computer Vision , 1995, Computer Science Workbench.
[10] Jia-Shung Wang,et al. A content-based CT lung image retrieval system for assisting differential diagnosis images collection , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..
[11] Joachim M. Buhmann,et al. Non-parametric similarity measures for unsupervised texture segmentation and image retrieval , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[12] Joachim M. Buhmann,et al. Empirical evaluation of dissimilarity measures for color and texture , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[13] Carla E. Brodley,et al. Testing for human perceptual categories in a physician-in-the-loop CBIR system for medical imagery , 1999, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'99).
[14] Seung-Moo Noh,et al. Pulmonary nodule detection using chest CT images. , 2003, Acta radiologica.
[15] Antoine Geissbühler,et al. A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .
[16] DeLiang Wang,et al. Texture segmentation using Gaussian-Markov random fields and neural oscillator networks , 2001, IEEE Trans. Neural Networks.
[17] Carla E. Brodley,et al. Local versus global features for content-based image retrieval , 1998, Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173).
[18] Volkan Atalay,et al. Unsupervised segmentation of gray level Markov model textures with hierarchical self organizing maps , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[19] David A. Clausi,et al. Designing Gabor filters for optimal texture separability , 2000, Pattern Recognit..
[20] Hamid Abrishami Moghaddam,et al. A New Segmentation Method for Lung HRCT Images , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).
[21] Seung-Moo Noh,et al. Pulmonary nodule detection using chest CT images , 2003 .
[22] L. Rodney Long,et al. Content-Based Image Retrieval for Large Biomedical Image Archives , 2004, MedInfo.
[23] J. Furst,et al. Pixel-Based Texture Classification of Tissues in Computed Tomography , 2006 .
[24] C. Bouman. Markov Random Fields and Stochastic Image Models , 1995 .
[25] Kobus Barnard,et al. Evaluating image retrieval , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[26] K. Doi,et al. Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. , 2002, AJR. American journal of roentgenology.
[27] Noboru Niki,et al. Pulmonary Nodule Classification Based on Nodule Retrieval from 3-D Thoracic CT Image Database , 2004, MICCAI.
[28] Ajai Jain,et al. The Handbook of Pattern Recognition and Computer Vision , 1993 .
[29] Tomasz Andrysiak,et al. Image retrieval based on hierarchical Gabor filters , 2005 .
[30] Richard C. Dubes,et al. Performance evaluation for four classes of textural features , 1992, Pattern Recognit..
[31] Carla E. Brodley,et al. Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Lionel Brunie,et al. Content-based and metadata retrieval in medical image database , 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).
[33] Hermann Ney,et al. Features for Image Retrieval: A Quantitative Comparison , 2004, DAGM-Symposium.
[34] Michal Strzelecki,et al. Texture Analysis Methods - A Review , 1998 .