Digital Pathology 15th European Congress ECDP 2019 Warwick UK April 10 13 2019 Proceedings Constantino Carlos Reyes-Aldasoro 3030239373 9783030239374

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Product details:

• ISBN 10: 3030239373
• ISBN 13: 9783030239374
• Author: Carlos Reyes-Aldasoro

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.

Table of contents:

1. PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification
2. Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs
3. Patch Clustering for Representation of Histopathology Images
4. Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study
5. Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach
6. Evaluation of Colour Pre-processing on Patch-Based Classification of H&E-Stained Images
7. Segmentation
8. Automated Segmentation of DCIS in Whole Slide Images
9. A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues
10. Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach
11. Improving Prostate Cancer Detection with Breast Histopathology Images
12. Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net
13. Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images
14. Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule
15. Deep Features for Tissue-Fold Detection in Histopathology Images
16. Computer-Assisted Diagnosis and Prognosis
17. A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images
18. Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features
19. A New Paradigm of RNA-Signal Quantitation and Contextual Visualization for On-Slide Tissue Analysis
20. Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma
21. An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features
22. Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide Images

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