Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
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Dimitris N. Metaxas | Qiaoying Huang | Pengxiang Wu | Kang Li | Hui Qu | Jingru Yi | Shaoting Zhang | Gregory M. Riedlinger | Subhajyoti De | Zhennan Yan | Qiaoying Huang | Jingru Yi | S. De | Pengxiang Wu | Kang Li | G. Riedlinger | Shaoting Zhang | Hui Qu | Zhennan Yan
[1] Hai Su,et al. Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network , 2015, MICCAI.
[2] Fei-Fei Li,et al. What's the Point: Semantic Segmentation with Point Supervision , 2015, ECCV.
[3] Dimitris N. Metaxas,et al. Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images , 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
[4] A. Huisman,et al. Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images , 2013, PloS one.
[5] Hai Su,et al. High-throughput histopathological image analysis via robust cell segmentation and hashing , 2015, Medical Image Anal..
[6] Thomas Walter,et al. Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map , 2019, IEEE Transactions on Medical Imaging.
[7] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[8] Konstantinos Kamnitsas,et al. DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks , 2016, IEEE Transactions on Medical Imaging.
[9] Hai Su,et al. Efficient and robust cell detection: A structured regression approach , 2018, Medical Image Anal..
[10] Nasir M. Rajpoot,et al. A Stochastic Polygons Model for Glandular Structures in Colon Histology Images , 2015, IEEE Transactions on Medical Imaging.
[11] Hai Su,et al. Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders , 2015, MICCAI.
[12] Jian Sun,et al. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Dimitris N. Metaxas,et al. Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images , 2019, MIDL.
[15] Ismail Ben Ayed,et al. On Regularized Losses for Weakly-supervised CNN Segmentation , 2018, ECCV.
[16] George Papandreou,et al. Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[17] Zhiqiang Hu,et al. Signet Ring Cell Detection with a Semi-supervised Learning Framework , 2019, IPMI.
[18] Hao Chen,et al. SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction , 2017, AAAI.
[19] Jian Sun,et al. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[21] Erik Reinhard,et al. Color Transfer between Images , 2001, IEEE Computer Graphics and Applications.
[22] Luca Maria Gambardella,et al. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks , 2013, MICCAI.
[23] 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.
[24] Wei Liu,et al. Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval , 2015, IEEE Transactions on Medical Imaging.
[25] Lin Yang,et al. Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review , 2016, IEEE Reviews in Biomedical Engineering.
[26] Andrew Adams,et al. Fast High‐Dimensional Filtering Using the Permutohedral Lattice , 2010, Comput. Graph. Forum.
[27] Zhiqiang Hu,et al. Accurate Nuclear Segmentation with Center Vector Encoding , 2019, IPMI.
[28] Thomas Walter,et al. Nuclei segmentation in histopathology images using deep neural networks , 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).
[29] Lin Yang,et al. Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation , 2018, MICCAI.
[30] Yousef Al-Kofahi,et al. Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images , 2010, IEEE Transactions on Biomedical Engineering.
[31] Jianzhong Wu,et al. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images , 2016, IEEE Transactions on Medical Imaging.
[32] Andrew Janowczyk,et al. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases , 2016, Journal of pathology informatics.
[33] Hui Kong,et al. Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting , 2011, IEEE Transactions on Medical Imaging.
[34] Lin Yang,et al. BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation , 2018, ArXiv.
[35] Trevor Darrell,et al. Constrained Convolutional Neural Networks for Weakly Supervised Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[36] Surabhi Bhargava,et al. A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology , 2017, IEEE Transactions on Medical Imaging.
[37] David B. A. Epstein,et al. Micro‐Net: A unified model for segmentation of various objects in microscopy images , 2018, Medical Image Anal..
[38] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[39] Dimitris N. Metaxas,et al. Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss , 2019, MICCAI.
[40] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[42] Joel H. Saltz,et al. Robust Histopathology Image Analysis: To Label or to Synthesize? , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[44] Lin Yang,et al. An Automatic Learning-Based Framework for Robust Nucleus Segmentation , 2016, IEEE Transactions on Medical Imaging.
[45] Dimitris N. Metaxas,et al. Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty , 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).
[46] Eric Granger,et al. Constrained‐CNN losses for weakly supervised segmentation☆ , 2018, Medical Image Anal..
[47] Richard J. Chen,et al. Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images , 2018, IEEE Transactions on Medical Imaging.