A comparative study of CNN, BoVW and LBP for classification of histopathological images
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Hamid R. Tizhoosh | Morteza Babaie | Shivam Kalra | Shujin Zhu | Meghana Dinesh Kumar | H. Tizhoosh | S. Kalra | Morteza Babaie | M. Kumar | Shujin Zhu
[1] Pierluigi Carcagnì,et al. TLD and Struck: A Feature Descriptors Comparative Study , 2014, AMMDS.
[2] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[3] 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.
[4] Dayong Wang,et al. Deep Learning for Identifying Metastatic Breast Cancer , 2016, ArXiv.
[5] Kim L. Boyer,et al. Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation , 2009, Pattern Recognit..
[6] Shahryar Rahnamayan,et al. Classification and Retrieval of Digital Pathology Scans: A New Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[7] Rangaraj M. Rangayyan,et al. Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets , 2001, IEEE Transactions on Medical Imaging.
[8] Xavier Lladó,et al. False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns , 2007, MICCAI.
[9] Saeid Nahavandi,et al. Bag-of-words representation for biomedical time series classification , 2012, Biomed. Signal Process. Control..
[10] Hayit Greenspan,et al. X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words , 2011, IEEE Transactions on Medical Imaging.
[11] Rudolf Hanka,et al. Histological image retrieval based on semantic content analysis , 2003, IEEE Transactions on Information Technology in Biomedicine.
[12] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Fabio A. González,et al. Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks , 2014, Medical Imaging.
[14] P. Nagabhushan,et al. GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures , 2011, Int. J. Comput. Vis. Robotics.
[15] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[16] Marek Kowal,et al. Classification of breast cancer cytological specimen using convolutional neural network , 2017 .
[17] Ulysses J. Balis,et al. Why a pathology image should not be considered as a radiology image , 2011, Journal of pathology informatics.
[18] Jalel Akaichi,et al. Using a bag of Words for Automatic Medical Image Annotation with a Latent Semantic , 2013, ArXiv.
[19] Joel H. Saltz,et al. Automatic histopathology image analysis with CNNs , 2016, 2016 New York Scientific Data Summit (NYSDS).
[20] Rudolf Hanka,et al. A multi-window approach to classify histological features , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[21] Jyotirmoy Chatterjee,et al. Quantitative dimensions of histopathological attributes and status of GSTM1-GSTT1 in oral submucous fibrosis. , 2008, Tissue & cell.
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[23] P H Bartels,et al. Bayesian belief networks in quantitative histopathology. , 1992, Analytical and quantitative cytology and histology.
[24] Shuicheng Yan,et al. An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[25] Swapna Banerjee,et al. Quantitative Analysis of Histopathological Features of Precancerous Lesion and Condition Using Image Processing Technique , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).
[26] Fabio A. González,et al. Histopathology Image Classification Using Bag of Features and Kernel Functions , 2009, AIME.
[27] Bayan S. Sharif,et al. Morphological and texture features for cancer tissues microscopic images , 2003, SPIE Medical Imaging.
[28] T M Lehmann,et al. Content-based Image Retrieval in Medical Applications , 2004, Methods of Information in Medicine.
[29] Matti Pietikäinen,et al. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[30] Jun Kong,et al. Digital Pathology: Data-Intensive Frontier in Medical Imaging , 2012, Proceedings of the IEEE.
[31] Fabio A. González,et al. A Semantic Content-Based Retrieval Method for Histopathology Images , 2008, AIRS.
[32] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[33] Yongyi Yang,et al. Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances , 2009, IEEE Transactions on Information Technology in Biomedicine.
[34] Max A. Viergever,et al. Breast Cancer Histopathology Image Analysis: A Review , 2014, IEEE Transactions on Biomedical Engineering.
[35] Fang Zhang,et al. Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[36] Andrew A. Renshaw,et al. Rubin??s Pathology. Clinicopathologic Foundations of Medicine , 2008 .
[37] Janne Heikkilä,et al. Transfer Learning for Cell Nuclei Classification in Histopathology Images , 2016, ECCV Workshops.
[38] Michael Werman,et al. The Quadratic-Chi Histogram Distance Family , 2010, ECCV.
[39] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[40] Lei Zheng,et al. Design and analysis of a content-based pathology image retrieval system , 2003, IEEE Transactions on Information Technology in Biomedicine.
[41] B K Rutt,et al. Invasive carcinomas and fibroadenomas of the breast: comparison of microvessel distributions--implications for imaging modalities. , 1998, Radiology.
[42] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[43] Saeid Nahavandi,et al. A deep-structural medical image classification for a Radon-based image retrieval , 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).
[44] Ahmet Ekin,et al. Intensity versus texture for medical image search and retrival , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.