Machine Learning in Medical Imaging 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.
The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Summary

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.
The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Product details

• Assisted by: Minigxia Liu (Editor), Yinghuan Shi (Editor), Heung-IL Suk (Editor), Mingxia Liu (Editor), Heung-I Suk (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 01.01.2018
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software
• EAN: 9783030009182
• ISBN: 978-3-0-3000918-2
• Pages: 409
• Illustrations: XII, 409 p. 154 illus., 138 illus. in color.
• Dimensions (packing): 15.4 x 2.5 x 23.8 cm
• Weight (packing): 652 g
• Series: Lecture Notes in Computer Science > .11046, Computer Communication Networks and Telecommunications, Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Computer Communication Networks and Telecommunications, Image Processing, Computer Vision, Pattern Recogni
• Subjects: C, Künstliche Intelligenz, machine learning, Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, Computeranwendungen in Industrie und Technologie, computer science, Supervised Learning, Neural Networks, Computer Vision, Health Informatics, Image Processing and Computer Vision, Data Mining and Knowledge Discovery, Health & safety aspects of IT, Optical data processing, Expert systems / knowledge-based systems, medical images, segmentation methods, Network architecture