Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.
The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions.
The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

Summary

This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.
The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions.
The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

Product details

• Assisted by: Ehsa Adeli (Editor), Ehsan Adeli (Editor), Yinghuan Shi (Editor), Heung-Il Suk (Editor), Li Wang (Editor), Qian Wang (Editor), Qian Wang et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783319471563
• ISBN: 978-3-31-947156-3
• No. of pages: 324
• Dimensions: 156 mm x 19 mm x 235 mm
• Weight: 517 g
• Illustrations: XIV, 324 p. 127 illus.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Künstliche Intelligenz, Data Mining, Artificial Intelligence, Mustererkennung, Wissensbasierte Systeme, Expertensysteme, Computeranwendungen in Industrie und Technologie, computer science, Computer Vision, Health Informatics, Image Processing and Computer Vision, pattern recognition, Data Mining and Knowledge Discovery, Automated Pattern Recognition, Health & safety aspects of IT, Optical data processing, Expert systems / knowledge-based systems, medical image analysis, multi-task learning, sensorless reconstruction, shape representation, Regression Trees