Digital Pathology 15th European congress, ECDP 2019, Warwick, UK, April 10-13, 2019 : proceedings / Constantino Carlos Reyes-Aldasoro, Andrew Janowczyk, Mitko Veta, Peter Bankhead, Korsuk Sirinukunwattana (eds.).

Author/creator European Congress on Digital Pathology
Format Electronic
Publication InfoCham, Switzerland : Springer, [2019]
Descriptionxi, 192 pages : illustrations (black and white) ; 24 cm.
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2019 English International
Supplemental ContentFull text available from Springer Books
Subjects
Pathology--methods.
Image Processing, Computer-Assisted--methods.
Image Interpretation, Computer-Assisted
Diagnosis, Computer-Assisted
Datasets as Topic

Other author/creatorReyes-Aldasoro, Constantino Carlos.
Other author/creatorJanowczyk, Andrew.
Other author/creatorVeta, Mitko.
Other author/creatorBankhead, Peter.
Other author/creatorSirinukunwattana, Korsuk.
Variant title ECDP 2019
SeriesLecture notes in computer science, 0302-9743 ; 11435
LNCS Sublibrary: SL6 - Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture notes in computer science ; 11435. 0302-9743
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Contents [I]. Image datasets and virtual staining: Bringing open data to whole slide imaging / Sébastien Besson, Roger Leigh, Melissa Linkert, Chris Allan, Jean-Marie Burel, Mark Carroll, David Gault, Riad Gozim, Simon Li, Dominik Lindner, Josh Moore, Will Moore, Petr Walczysko, Frances Wong, and Jason R. Swedlow -- PanNuke : an open pan-cancer histology dataset for nuclei instance segmentation and classification / Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, and Nasir Rajpoot -- Active learning for patch-based digital pathology using convolutional neural networks to reduce annotation costs / Jacob Carse and Stephen McKenna -- Patch clustering for representation of histopathology images / Wafa Chenni, Habib Herbi, Morteza Babaie, and Hamid R. Tizhoosh -- Virtually redying histological images with generative adversarial networks to facilitate unsupervised segmentation : a proof-of-concept study / Michael Gadermayr, Barbara M. Klinkhammer, and Peter Boor -- Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach / Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, and Eldad Klaiman -- Evaluation of colour pre-processing on patch-based classification of H&E-stained images / Francesco Bianconi, Jakob N. Kather, and Constantino C. Reyes-Aldasoro.
Contents [II]. Segmentation: Automated segmentation of DCIS in whole slide images / Nikhil Seth, Shazia Akbar, Sharon Nofech-Mozes, Sherine Salama, and Anne L. Martel -- A two-stage U-net algorithm for segmentation of nuclei in H&E-stained tissues / Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, and Chunliang Wang -- Automatic detection of tumor buds in pan-cytokeratin stained colorectal cancer sections by a range image analysis approach / Matthias Bergler, Michaela Benz, David Rauber, David Hartmann, Malte Kötter, Markus Eckstein, Regine Schneider-Stock, Arndt Hartmann, Susanne Merkel, Volker Bruns, Thomas Wittenberg, and Carol Geppert -- Improving prostate cancer detection with breast histopathology images / Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu, Kevin Sandeman, Timo Heikkinen, Antti Rannikko, and Tuomas Mirtti -- Multi-tissue partitioning for whole slide images of colorectal cancer histopathology images with deeptissue net / Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, and Li Liang -- Rota-Net : rotation equivariant network for simultaneous gland and lumen segmentation in colon histology images / Simon Graham, David Epstein, and Nasir Rajpoot -- Histopathological image analysis on mouse testes for automated staging of mouse seminiferous tubule / Jun Xu, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, and Yujun Xu -- Deep features for tissue-fold detection in histopathology images / Morteza Babaie and Hamid R. Tizhoosh.
Contents [III]. Computer-assisted diagnosis and prognosis: A fast pyramidal Bayesian model for mitosis detection in whole-slide images / Santiago López-Tapia, José Aneiros-Fernández, and Nicolás Pérez de la Blanca -- Improvement of mitosis detection through the combination of PHH3 and HE features / Santiago López-Tapia, Cristobal Olivencia, José Aneiros-Fernández, and Nicolás Pérez de la Blanca -- A new paradigm of RNA-signal quantitation and contextual visualization for on-slide tissue analysis / Auranuch Lorsakul and William Day -- Digital tumor-collagen proximity signature predicts survival in diffuse large B-cell lymphoma / Talha Qaiser, Matthew Pugh, Sandra Margielewska, Robert Hollows, Paul Murray, and Nasir Rajpoot -- An integrated multi-scale model for breast cancer histopathological image classification using CNN-pooling and color-texture features / Vibha Gupta and Arnav Bhavsar -- Icytomine : a user-friendly tool for integrating workflows on whole slide images / Daniel Felipe Gonzalez Obando, Diana Mandache, Jean-Christophe Olivo-Marin, and Vannary Meas-Yedid.
Abstract This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake. -- Provided by publisher.
General note"ISSN 1611-3349 (electronic)"--Title page verso.
Bibliography noteIncludes bibliographical references and author index.
Access restrictionAvailable only to authorized users.
Other formsAlso published electronically.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9783030239367 paperback
ISBN3030239365 paperback
ISBNebook

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