Digital Pathology - 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings

This book constitutes the refereed proceedings of the 15^th 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.

List of contents

Image Datasets and Virtual Staining.- Segmentation.- Computer-Assisted Diagnosis and Prognosis.

Summary

This book constitutes the refereed proceedings of the 15^th 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.

Product details

• Assisted by: Peter Bankhead (Editor), Andre Janowczyk (Editor), Andrew Janowczyk (Editor), Constantino Carlos Reyes-Aldasoro (Editor), Korsuk Sirinukunwattana (Editor), Mitko Veta (Editor), Mitko Veta et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030239367
• ISBN: 978-3-0-3023936-7
• No. of pages: 192
• Dimensions: 161 mm x 12 mm x 234 mm
• Weight: 318 g
• Illustrations: XI, 192 p. 93 illus., 85 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Künstliche Intelligenz, Artificial Intelligence, Deep Learning, Classification, computer science, Neural Networks, Computer Vision, clustering, Image Processing and Computer Vision, Optical data processing, Image processing, active learning, image segmentation, stain normalization