Machine Learning in Medical Imaging 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wang, Qian (Επιμελητής έκδοσης), Shi, Yinghuan (Επιμελητής έκδοσης), Suk, Heung-Il (Επιμελητής έκδοσης), Suzuki, Kenji (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Computer Science, 10541
• Θέματα: Computer science.; Health informatics.; Software engineering.; Data mining.; Artificial intelligence.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Software Engineering/Programming and Operating Systems.; Health Informatics.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).
• Φυσική περιγραφή: XV, 391 p. 134 illus. online resource.
• ISBN: 9783319673899
• ISSN: 0302-9743 ;

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 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.