Cellular community detection for tissue phenotyping in colorectal cancer histology images
暂无分享,去创建一个
David B. A. Epstein | Muhammad Moazam Fraz | Nasir Rajpoot | David Snead | Navid Alemi Koohbanani | Sajid Javed | Arif Mahmood | Yee-Wah Tsang | Katherine Hewitt | Ksenija Benes | David Epstein | N. Rajpoot | Y. Tsang | M. Fraz | D. Snead | S. Javed | K. Hewitt | Arif Mahmood | K. Benes
[1] Anant Madabhushi,et al. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images , 2016, Neurocomputing.
[2] Francesco Bianconi,et al. Discrimination between tumour epithelium and stroma via perception-based features , 2015, Neurocomputing.
[3] H. Irshad,et al. Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential , 2014, IEEE Reviews in Biomedical Engineering.
[4] Bruce Alberts,et al. Essential Cell Biology , 1983 .
[5] Alexis B. Carter,et al. Computational Pathology: A Path Ahead. , 2016, Archives of pathology & laboratory medicine.
[6] Vishal Monga,et al. Simultaneous Sparsity Model for Histopathological Image Representation and Classification , 2014, IEEE Transactions on Medical Imaging.
[7] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[8] George Lee,et al. Image analysis and machine learning in digital pathology: Challenges and opportunities , 2016, Medical Image Anal..
[9] Shaoting Tang,et al. A new approach to shortest paths on networks based on the quantum bosonic mechanism , 2011 .
[10] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[11] Vishal Monga,et al. Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning , 2015, IEEE Transactions on Medical Imaging.
[12] Ash A. Alizadeh,et al. Toward understanding and exploiting tumor heterogeneity , 2015, Nature Medicine.
[13] Zhipeng Jia,et al. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features , 2017, BMC Bioinformatics.
[14] Cigdem Gunduz-Demir,et al. Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images , 2019, IEEE Transactions on Medical Imaging.
[15] Ramakrishnan Mukundan,et al. HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues , 2017, Histopathology.
[16] David B. A. Epstein,et al. Cellular Community Detection for Tissue Phenotyping in Histology Images , 2018, COMPAY/OMIA@MICCAI.
[17] Jure Leskovec,et al. Graph Convolutional Neural Networks for Web-Scale Recommender Systems , 2018, KDD.
[18] Jean Ponce,et al. Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] 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).
[21] S. N. Dorogovtsev,et al. Evolution of networks , 2001, cond-mat/0106144.
[22] Francesco Bianconi,et al. Multi-class texture analysis in colorectal cancer histology , 2016, Scientific Reports.
[23] Steve Harenberg,et al. Community detection in large‐scale networks: a survey and empirical evaluation , 2014 .
[24] Sanghoon Lee,et al. Interactive phenotyping of large-scale histology imaging data with HistomicsML , 2017, bioRxiv.
[25] B F Warren,et al. The proportion of tumor-stroma as a strong prognosticator for stage II and III colon cancer patients: validation in the VICTOR trial. , 2013, Annals of oncology : official journal of the European Society for Medical Oncology.
[26] Nasir M. Rajpoot,et al. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images , 2016, IEEE Trans. Medical Imaging.
[27] Hong Liu,et al. Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks , 2018, Annals of Biomedical Engineering.
[28] Pietro Liò,et al. Deep Graph Infomax , 2018, ICLR.
[29] George Karypis,et al. Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering , 2004, Machine Learning.
[30] Yee-Wah Tsang,et al. Validation of digital pathology imaging for primary histopathological diagnosis , 2016, Histopathology.
[31] Seth Pettie,et al. A Shortest Path Algorithm for Real-Weighted Undirected Graphs , 2005, SIAM J. Comput..
[32] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] J. S. Marron,et al. A method for normalizing histology slides for quantitative analysis , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[34] Matti Pietikäinen,et al. Identification of tumor epithelium and stroma in tissue microarrays using texture analysis , 2012, Diagnostic Pathology.
[35] Gustavo K. Rohde,et al. Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images , 2017, IEEE Journal of Biomedical and Health Informatics.
[36] Lorenzo Livi,et al. Graph Neural Networks with distributed ARMA filters , 2019 .
[37] Nico Karssemeijer,et al. Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies , 2018, Modern Pathology.
[38] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[39] Arif Mahmood,et al. Using Geodesic Space Density Gradients for Network Community Detection , 2017, IEEE Transactions on Knowledge and Data Engineering.
[40] Tanaya Guha,et al. Image Similarity Using Sparse Representation and Compression Distance , 2012, IEEE Transactions on Multimedia.
[41] Hideyuki Tamura,et al. Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.
[42] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[43] K. Polyak,et al. Intra-tumour heterogeneity: a looking glass for cancer? , 2012, Nature Reviews Cancer.
[44] Ruoyu Li,et al. Graph CNN for Survival Analysis on Whole Slide Pathological Images , 2018, MICCAI.
[45] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] David B. A. Epstein,et al. Novel digital signatures of tissue phenotypes for predicting distant metastasis in colorectal cancer , 2018, Scientific Reports.
[47] Daisuke Komura,et al. Machine Learning Methods for Histopathological Image Analysis , 2017, Computational and structural biotechnology journal.
[48] René Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications , 2012, IEEE transactions on pattern analysis and machine intelligence.
[49] Scott T. Acton,et al. SDL: Saliency-Based Dictionary Learning Framework for Image Similarity , 2018, IEEE Transactions on Image Processing.
[50] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[51] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[52] Vishal Monga,et al. Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection , 2019, IEEE Transactions on Medical Imaging.
[53] May D. Wang,et al. Histological image classification using biologically interpretable shape-based features , 2013, BMC Medical Imaging.
[54] Constantino Carlos Reyes-Aldasoro,et al. Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study , 2019, PLoS medicine.
[55] Max A. Viergever,et al. Breast Cancer Histopathology Image Analysis: A Review , 2014, IEEE Transactions on Biomedical Engineering.