Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning

[1]  H. Hontani,et al.  Subtype classification of malignant lymphoma using immunohistochemical staining pattern , 2022, International Journal of Computer Assisted Radiology and Surgery.

[2]  Zhiguo Jiang,et al.  Diagnostic Regions Attention Network (DRA-Net) for Histopathology WSI Recommendation and Retrieval , 2020, IEEE Transactions on Medical Imaging.

[3]  J. Thiran,et al.  Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance , 2020, MICCAI.

[4]  Jitendra Jonnagaddala,et al.  Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks , 2020, Medical Image Anal..

[5]  T. Furuta,et al.  Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma , 2020, Laboratory Investigation.

[6]  Lin Li,et al.  A deep metric learning approach for histopathological image retrieval. , 2020, Methods.

[7]  Ming Y. Lu,et al.  Data-efficient and weakly supervised computational pathology on whole-slide images , 2020, Nature Biomedical Engineering.

[8]  I. Takeuchi,et al.  Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  H. R. Tizhoosh,et al.  Yottixel - An Image Search Engine for Large Archives of Histopathology Whole Slide Images , 2019, ArXiv.

[10]  Fengying Xie,et al.  Encoding Histopathological WSIs Using GNN for Scalable Diagnostically Relevant Regions Retrieval , 2019, MICCAI.

[11]  Thomas J. Fuchs,et al.  Clinical-grade computational pathology using weakly supervised deep learning on whole slide images , 2019, Nature Medicine.

[12]  Nassir Navab,et al.  Multi-task learning of a deep k-nearest neighbour network for histopathological image classification and retrieval , 2019, bioRxiv.

[13]  Hidekata Hontani,et al.  Computing Valid P-Values for Image Segmentation by Selective Inference , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Ryoma Bise,et al.  Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Luiz Eduardo Soares de Oliveira,et al.  Multiple instance learning for histopathological breast cancer image classification , 2019, Expert Syst. Appl..

[16]  Daniel Smilkov,et al.  Similar image search for histopathology: SMILY , 2019, npj Digital Medicine.

[17]  Lei Chen,et al.  Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning , 2018, Annals of clinical and laboratory science.

[18]  Manfredo Atzori,et al.  Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access Literature , 2018, bioRxiv.

[19]  Lin Yang,et al.  Pairwise based deep ranking hashing for histopathology image classification and retrieval , 2018, Pattern Recognit..

[20]  Daisuke Komura,et al.  Luigi: Large-scale histopathological image retrieval system using deep texture representations , 2018, bioRxiv.

[21]  J. S. Marron,et al.  Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology , 2018, MICCAI.

[22]  Peter H. N. de With,et al.  Stain normalization of histopathology images using generative adversarial networks , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

[23]  Abhijit Guha Roy,et al.  Multiple instance learning of deep convolutional neural networks for breast histopathology whole slide classification , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

[24]  Max Welling,et al.  Attention-based Deep Multiple Instance Learning , 2018, ICML.

[25]  Zhiguo Jiang,et al.  Histopathological Whole Slide Image Analysis Using Context-Based CBIR , 2018, IEEE Transactions on Medical Imaging.

[26]  Andrew H. Beck,et al.  Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer , 2017, JAMA.

[27]  Manfredo Atzori,et al.  Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets , 2017, Patch-MI@MICCAI.

[28]  Bernhard Pfahringer,et al.  Learning Distance Metrics for Multi-Label Classification , 2016, ACML.

[29]  Albert Gordo,et al.  Deep Image Retrieval: Learning Global Representations for Image Search , 2016, ECCV.

[30]  Joel H. Saltz,et al.  Multi-scale learning based segmentation of glands in digital colonrectal pathology images , 2016, SPIE Medical Imaging.

[31]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Joel H. Saltz,et al.  Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  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).

[34]  Vishal Monga,et al.  Automated discrimination of lower and higher grade gliomas based on histopathological image analysis , 2015, Journal of pathology informatics.

[35]  Yang Song,et al.  Learning Fine-Grained Image Similarity with Deep Ranking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[36]  Fabio A. González,et al.  Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks , 2014, Medical Imaging.

[37]  Luca Maria Gambardella,et al.  Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks , 2013, MICCAI.

[38]  Mahadev Satyanarayanan,et al.  OpenSlide: A vendor-neutral software foundation for digital pathology , 2013, Journal of pathology informatics.

[39]  Chin-Chun Chang,et al.  A boosting approach for supervised Mahalanobis distance metric learning , 2012, Pattern Recognit..

[40]  Fabio A. González,et al.  Content-based histopathology image retrieval using a kernel-based semantic annotation framework , 2011, J. Biomed. Informatics.

[41]  Ethem Alpaydin,et al.  Multiple Kernel Learning Algorithms , 2011, J. Mach. Learn. Res..

[42]  Lei Wang,et al.  Scalable Large-Margin Mahalanobis Distance Metric Learning , 2010, IEEE Transactions on Neural Networks.

[43]  Zhi-Hua Zhou,et al.  Learning a distance metric from multi-instance multi-label data , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[44]  Fei-Fei Li,et al.  ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[45]  Ethem Alpaydin,et al.  Localized multiple kernel learning , 2008, ICML '08.

[46]  N. Shinton.  WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues , 2007 .

[47]  Yves Grandvalet,et al.  More efficiency in multiple kernel learning , 2007, ICML '07.

[48]  Gunnar Rätsch,et al.  Large Scale Multiple Kernel Learning , 2006, J. Mach. Learn. Res..

[49]  Kilian Q. Weinberger,et al.  Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.

[50]  Yann LeCun,et al.  Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[51]  Lei Zheng,et al.  Design and analysis of a content-based pathology image retrieval system , 2003, IEEE Transactions on Information Technology in Biomedicine.

[52]  Hao Chen,et al.  RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification , 2019, Medical Image Anal..

[53]  Mehran Yazdi,et al.  Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images , 2019, IEEE Access.

[54]  Linda G. Shapiro,et al.  Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images , 2018, IEEE Transactions on Medical Imaging.

[55]  E. Berg,et al.  World Health Organization Classification of Tumours , 2002 .

[56]  Ning Qian,et al.  On the momentum term in gradient descent learning algorithms , 1999, Neural Networks.

[57]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .