首页>外文会议>European congress on digital pathology

European congress on digital pathology

召开年：2019
召开地：Warwick(GB)
出版时间：-

会议文集：-

会议论文

热门论文

全部论文

全选（0）

1.Preface

机译：前言
- 作者：Peter Bankhead;Andrew Janowczyk;Constantino Carlos Reyes-Aldasoro;Korsuk Sirinukunwattana;Mitko Veta
- 会议名称：《European congress on digital pathology》 | 2019年
2.Bringing Open Data to Whole Slide Imaging

机译：将开放数据带入整个幻灯片成像
- 作者：Sebastien Besson;Roger Leigh;Melissa Linkert;Chris Allan;Jean-Marie Burel;Mark Carroll;David Gaull;Riad Gozim;Simon Li;Dominik Lindner;Josh Moore;Will Moore;Petr Walczysko;Frances Wong;Jason R. Swedlow
- 会议名称：《European congress on digital pathology》 | 2019年
- Whole slide imaging;
- Open file format;
- Open data;
- OME-TIFF;
3.PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification

机译：PanNuke：用于核实例分割和分类的开放式全癌组织学数据集
- 作者：Jevgenij Garnper;Navid Alemi Koohbanani;Ksenija Benet;Ali Khuram;Nasir Rajpoot
- 会议名称：《European congress on digital pathology》 | 2019年
- Computational pathology;
- Instance segmentation;
- Instance classification;
- Histology dataset;
4.Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs

机译：使用卷积神经网络主动学习基于补丁的数字病理学，以降低注释成本
- 作者：Jacob Carse;Stephen McKenna
- 会议名称：《European congress on digital pathology》 | 2019年
- Active learning;
- Image annotation;
- Deep learning;
- Nuclei classification;
5.Patch Clustering for Representation of Histopathology Images

机译：补丁聚类用于组织病理学图像的表示
- 作者：Wafa Chenni;Habib Herbi;Morteza Babaie;Hamid R. Tizhoosh
- 会议名称：《European congress on digital pathology》 | 2019年
6.Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study

机译：使用生成性对抗网络虚拟变红组织学图像以促进无监督分割：概念验证研究
- 作者：Michael Gadermayr;Barbara M. Klinkhammer;Peter Boor
- 会议名称：《European congress on digital pathology》 | 2019年
- Histology;
- Adversarial networks;
- Segmentation;
- Kidney;
- Unsupervised;
- Tubuli;
- Glomeruli;
7.Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach

机译：使用无监督的深度学习方法对数字病理学中的组织染色进行虚拟化
- 作者：Amal Lahiani;Jacob Gildenblat;Irina Klaman;Shadi Albarqouni;Nassir Navab;Eldad Klaiman
- 会议名称：《European congress on digital pathology》 | 2019年
- Virtual staining;
- Multiplexing;
- Unsupervised deep learning;
- Histopathology;
8.Evaluation of Colour Pre-processing on Patch-Based Classification of HE-Stained Images

机译：基于修补程序的H＆E染色图像分类颜色预处理的评估
- 作者：Francesco Bianconi;Jakob N. Kather;Constantino C. Reyes-Aldasoro
- 会议名称：《European congress on digital pathology》 | 2019年
- Colour;
- Histology;
- Hematoxylin;
- Eosin;
- Texture;
9.Automated Segmentation of DCIS in Whole Slide Images

机译：在整个幻灯片图像中自动分割DCIS
- 作者：Nikhil Seth;Shazia Akbar;Sharon Nofech-Mozes;Sherine Salama;Anne L. Martel
- 会议名称：《European congress on digital pathology》 | 2019年
- DCIS;
- Segmentation;
- U-Net;
- Digital pathology;
- Deep learning;
10.A Two-Stage U-Net Algorithm for Segmentation of Nuclei in HE-Stained Tissues

机译：H＆E染色组织中核分裂的两阶段U-Net算法
- 作者：Amirreza Mahbod;Gerald Schaefer;Isabella Ellinger;Rupert Ecker;Orjan Smedby;Chunliang Wang
- 会议名称：《European congress on digital pathology》 | 2019年
- Digital pathology;
- Tissue analysis;
- Nuclei segmentation;
- Deep learning;
- U-Net;
11.Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach

机译：通过混合图像分析方法自动检测泛角蛋白染色的结直肠癌切片中的肿瘤芽
- 作者：Matthias Bergler;Michaela Benz;David Rauber;David Hartmann;Malte Kotter;Markus Eckstein;Regine Schneider-Stock;Arndt Hartmann;Susanne Merkel;Volker Bruns;Thomas Wittenberg;Carol Geppert
- 会议名称：《European congress on digital pathology》 | 2019年
- Convolutional Neural Network (CNN);
- Medical image analysis;
- Tumor budding;
- Deep learning;
12.Improving Prostate Cancer Detection with Breast Histopathology Images

机译：通过乳房组织病理学图像改善前列腺癌的检测
- 作者：Umair Akhtar Hasan Khan;Carohn Stuerenberg;Oguzhan Gericoglu;Kevin Sandeman;Timo Heikkinen;Antti Rannikko;Tuomas Mirtti
- 会议名称：《European congress on digital pathology》 | 2019年
- Prostate cancer;
- Convolutional neural networks;
- Computer aided diagnosis;
- Breast cancer;
- Transfer learning;
13.Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net

机译：深度组织网对大肠癌组织病理学图像的全幻灯片图像进行多组织分割
- 作者：Jun Xu;Chengfei Cai;Yangshu Zhou;Bo Yao;Geyang Xu;Xiangxue Wang;Ke Zhao;Anant Madabhushi;Zaiyi Liu;Li Liang
- 会议名称：《European congress on digital pathology》 | 2019年
14.Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images

机译：Rota-Net：结肠组织学图像中同时腺体和管腔分割的旋转等变网络
- 作者：Simon Graham;David Epstein;Nasir Rajpoot
- 会议名称：《European congress on digital pathology》 | 2019年
- Computational pathology;
- Gland segmentation;
- Rotation equivariant;
- Deep learning;
15.Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule

机译：小鼠睾丸自动分期的小鼠睾丸的组织病理学图像分析
- 作者：Jun Xu;Haoda Lu;Haixin Li;Xiangxue Wang;Anant Madabhushi;Yujun Xu
- 会议名称：《European congress on digital pathology》 | 2019年
- Mouse testis histology;
- Seminiferous tubules;
- Whole slide image;
- Germ cell segmentation;
- Deep learning;
16.Deep Features for Tissue-Fold Detection in Histopathology Images

机译：组织病理学图像中组织折叠检测的深层特征
- 作者：Morteza Babaie;Hamid R. Tizhoosh
- 会议名称：《European congress on digital pathology》 | 2019年
- Digital pathology;
- Tissue folds;
- Deep features;
- SVM;
17.A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images

机译：快速金字塔形全贝叶斯模型在全幻灯片图像中的有丝分裂检测。
- 作者：Santiago Lopez-Tapia;Jose Aneiros-Fernandez;Nicolas Perez de la Blanca
- 会议名称：《European congress on digital pathology》 | 2019年
- Mitosis detection;
- Pyramid;
- Bayesian model;
- Multiscale processing;
18.Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features

机译：结合PHH3和HE功能改进有丝分裂检测
- 作者：Santiago Lopez-Tapia;Cristobal Olivencia;Jose Aneiros-Fernandez;Nicolas Perez de la Blanca
- 会议名称：《European congress on digital pathology》 | 2019年
- Mitosis detection;
- WSI;
- PHH3 and HE;
- Siamese CNN;
19.A New Paradigm of RNA-Signal Quantitation and Contextual Visualization for On-Slide Tissue Analysis

机译：幻灯片组织分析的RNA信号定量和上下文可视化的新范例
- 作者：Auranuch Lorsakul;William Day
- 会议名称：《European congress on digital pathology》 | 2019年
- In situ hybridization (ISH);
- Digital pathology;
- RNA;
- Image analysis;
- Quantitative analysis;
- Image processing;
- Cancer;
- Histopathology imaging;
20.Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma

机译：数字肿瘤-胶原蛋白接近签名预测弥漫性大型B细胞淋巴瘤的生存。
- 作者：Talha Qaiser;Matthew Pugh;Sandra Margielewska;Robert Hollows;Paul Murray;Nasir Rajpoot
- 会议名称：《European congress on digital pathology》 | 2019年
- Computational pathology;
- Deep learning;
- Survival analysis;
21.An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features

机译：使用CNN池和颜色纹理特征的乳腺癌组织病理学图像分类的集成多尺度模型
- 作者：Vibha Gupta;Arnav Bhavsar
- 会议名称：《European congress on digital pathology》 | 2019年
- Histopathology image analysis;
- Deep features;
- Color-texture features;
- Quadratic-SVM;
- Information Theoretic Score (ITS);
22.Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide Images

机译：Icytomine：用于在整个幻灯片图像上集成工作流的用户友好工具
- 作者：Daniel Felipe Gonzalez Obando;Diana Mandache;Jean-Christophe Olivo-Marin;Vannary Meas-Yedid
- 会议名称：《European congress on digital pathology》 | 2019年
- Whole slide imaging;
- Reproducible research;
- Open-source plugin;
- Convolutional neural network;
- Fine-tuning;
- Detection of glomeruli;