Novel image markers for non-small cell lung cancer classification and survival prediction
暂无分享,去创建一个
Hai Su | Hongyuan Wang | Lin Yang | Fuyong Xing | Arnold J. Stromberg | A. Stromberg | L. Yang | F. Xing | H. Su | Hongyuan Wang
[1] David E. Misek,et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma , 2002, Nature Medicine.
[2] Laurent D. Cohen,et al. On active contour models and balloons , 1991, CVGIP Image Underst..
[3] Shibo Li,et al. Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme , 2009, J. Biomed. Informatics.
[4] Yang Gao,et al. Multi-class Multi-instance Learning for Lung Cancer Image Classification Based on Bag Feature Selection , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[5] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[6] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[7] Harald Binder,et al. Incorporating pathway information into boosting estimation of high-dimensional risk prediction models , 2009, BMC Bioinformatics.
[8] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[9] Mark Culp,et al. and Development , 1998 .
[10] L. Tanoue,et al. The new lung cancer staging system. , 2009, Chest.
[11] Heng Huang,et al. Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling , 2013, BMC Bioinformatics.
[12] Xiaobo Zhou,et al. Towards Automated Cellular Image Segmentation for RNAi Genome-Wide Screening , 2005, MICCAI.
[13] Jeffrey C Miecznikowski,et al. Comparative survival analysis of breast cancer microarray studies identifies important prognostic genetic pathways , 2010, BMC Cancer.
[14] R. Burnett,et al. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. , 2002, JAMA.
[15] Stephen T. C. Wong,et al. On-the-spot lung cancer differential diagnosis by label-free, molecular vibrational imaging and knowledge-based classification. , 2011, Journal of biomedical optics.
[16] Yung-Nien Sun,et al. Texture Feature Coding Method for Classification of Liver Sonography , 1996, ECCV.
[17] Fabio A. González,et al. A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images , 2009, J. Biomed. Informatics.
[18] A. E. Hoerl,et al. Ridge Regression: Applications to Nonorthogonal Problems , 1970 .
[19] Kurt Hornik,et al. Misc Functions of the Department of Statistics (e1071), TU Wien , 2014 .
[20] Yue Li,et al. Mammogram retrieval through machine learning within BI-RADS standards , 2011, J. Biomed. Informatics.
[21] D. Dockery,et al. An association between air pollution and mortality in six U.S. cities. , 1993, The New England journal of medicine.
[22] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[23] Lin Yang,et al. Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set , 2012, IEEE Transactions on Biomedical Engineering.
[24] Kenneth I. Laws,et al. Rapid Texture Identification , 1980, Optics & Photonics.
[25] R. Tibshirani,et al. Regression shrinkage and selection via the lasso: a retrospective , 2011 .
[26] S. Bennett,et al. Analysis of survival data by the proportional odds model. , 1983, Statistics in medicine.
[27] Bjoern H. Menze,et al. Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers , 2014, MCV.
[28] Pedro M. Domingos,et al. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.
[29] Taxiarchis Botsis,et al. Molecular classification of nonsmall cell lung cancer using a 4‐protein quantitative assay , 2012, Cancer.
[30] Fabio A. González,et al. Content-based histopathology image retrieval using a kernel-based semantic annotation framework , 2011, J. Biomed. Informatics.
[31] D.,et al. Regression Models and Life-Tables , 2022 .
[32] Jagath C. Rajapakse,et al. Segmentation of Clustered Nuclei With Shape Markers and Marking Function , 2009, IEEE Transactions on Biomedical Engineering.
[33] A. Harris,et al. Angiogenesis, assessed by platelet/endothelial cell adhesion molecule antibodies, as indicator of node metastases and survival in breast cancer , 1992, The Lancet.
[34] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[37] Andrey N. Chernikov,et al. A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis , 2013, BMC Bioinformatics.
[38] Jinbo Bi,et al. Effective 3D object detection and regression using probabilistic segmentation features in CT images , 2011, CVPR 2011.
[39] Gabriela Csurka,et al. Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Nigel D. Haig. Image Processing for Missile Guidance , 1981 .
[41] E. Kaplan,et al. Nonparametric Estimation from Incomplete Observations , 1958 .
[42] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[43] Trevor Hastie,et al. Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.
[44] Nancy Lan Guo,et al. Signaling pathway-based identification of extensive prognostic gene signatures for lung adenocarcinoma. , 2012, Lung cancer.
[45] Xiaobo Zhou,et al. Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[46] Joseph Y. Lo,et al. Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis , 2011, J. Biomed. Informatics.
[47] Yong Qian,et al. Confirmation of Gene Expression–Based Prediction of Survival in Non–Small Cell Lung Cancer , 2008, Clinical Cancer Research.
[48] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[49] Ming-Huwi Horng,et al. Texture Feature Coding Method for Classification of Liver Sonography , 1996, ECCV.
[50] Harald Binder,et al. Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models , 2008, BMC Bioinformatics.
[51] Gerhard Tutz,et al. Boosting ridge regression , 2007, Comput. Stat. Data Anal..
[52] Yousef Al-Kofahi,et al. Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images , 2010, IEEE Transactions on Biomedical Engineering.
[53] P. Bühlmann,et al. Boosting With the L2 Loss , 2003 .
[54] D CohenLaurent. On active contour models and balloons , 1991 .
[55] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[56] Xiaobo Zhou,et al. An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling , 2009, J. Biomed. Informatics.
[57] Le Lu,et al. Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation , 2013, MCV.
[58] Wei Du,et al. Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines , 2003, FEBS letters.
[59] Igor Jurisica,et al. Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study , 2008, Nature Medicine.
[60] Allen R. Tannenbaum,et al. Localizing Region-Based Active Contours , 2008, IEEE Transactions on Image Processing.
[61] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[62] Stella X. Yu,et al. Finding dots: Segmentation as popping out regions from boundaries , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[63] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[64] Hanchuan Peng,et al. Automated image computing reshapes computational neuroscience , 2013, BMC Bioinformatics.
[65] T R Fleming,et al. Survival Analysis in Clinical Trials: Past Developments and Future Directions , 2000, Biometrics.
[66] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[67] Hong Yu,et al. Automatic figure classification in bioscience literature , 2011, J. Biomed. Informatics.
[68] B. Yu,et al. Boosting with the L_2-Loss: Regression and Classification , 2001 .
[69] Karl Rohr,et al. Fast Globally Optimal Segmentation of Cells in Fluorescence Microscopy Images , 2011, MICCAI.
[70] Todd H. Stokes,et al. Pathology imaging informatics for quantitative analysis of whole-slide images , 2013, Journal of the American Medical Informatics Association : JAMIA.
[71] F. Azuaje,et al. Multiple SVM-RFE for gene selection in cancer classification with expression data , 2005, IEEE Transactions on NanoBioscience.
[72] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.