Classification of Histology Sections via Multispectral Convolutional Sparse Coding
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Bahram Parvin | Kenneth E. Barner | Hang Chang | Paul T. Spellman | Yin Zhou | P. Spellman | B. Parvin | K. Barner | Hang Chang | Yin Zhou
[1] B. Yener,et al. Automated cancer diagnosis based on histopathological images : a systematic survey , 2005 .
[2] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[3] Yann LeCun,et al. Pedestrian Detection with Unsupervised Multi-stage Feature Learning , 2012, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Dirk R. Padfield,et al. Color and texture based segmentation of molecular pathology images usING HSOMS , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[5] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.
[6] Andrew Zisserman,et al. Efficient Additive Kernels via Explicit Feature Maps , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Bahram Parvin,et al. Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching , 2013, MICCAI.
[8] Anant Madabhushi,et al. Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with Oncotype DX assay , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[9] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[10] Graham W. Taylor,et al. Deconvolutional networks , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Bahram Parvin,et al. Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[12] 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).
[13] Anant Madabhushi,et al. Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[14] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[15] Vincent Lepetit,et al. Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters , 2012, MICCAI.
[16] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[17] Gyan Bhanot,et al. Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology , 2010, IEEE Transactions on Biomedical Engineering.
[18] Anders P. Eriksson,et al. Fast Convolutional Sparse Coding , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[19] May D. Wang,et al. Biological interpretation of morphological patterns in histopathological whole-slide images , 2012, BCB.
[20] Graham W. Taylor,et al. Adaptive deconvolutional networks for mid and high level feature learning , 2011, 2011 International Conference on Computer Vision.
[21] Yuejiao Fu,et al. Effect of Quantitative Nuclear Image Features on Recurrence of Ductal Carcinoma In Situ (DCIS) of the Breast , 2008, Cancer informatics.
[22] A. Ruifrok,et al. Quantification of histochemical staining by color deconvolution. , 2001, Analytical and quantitative cytology and histology.
[23] Bahram Parvin,et al. Classification of Tumor Histology via Morphometric Context , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Y-Lan Boureau,et al. Learning Convolutional Feature Hierarchies for Visual Recognition , 2010, NIPS.
[25] A. Ruifrok,et al. Comparison of Quantification of Histochemical Staining By Hue-Saturation-Intensity (HSI) Transformation and Color-Deconvolution , 2003, Applied immunohistochemistry & molecular morphology : AIMM.
[26] Jun Kong,et al. Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.