Machine Learning in Medical Imaging 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wu, Guorong (Επιμελητής έκδοσης), Zhang, Daoqiang (Επιμελητής έκδοσης), Shen, Dinggang (Επιμελητής έκδοσης), Yan, Pingkun (Επιμελητής έκδοσης), Suzuki, Kenji (Επιμελητής έκδοσης), Wang, Fei (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Computer Science, 8184
• Θέματα: Computer science.; Database management.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Computer Imaging, Vision, Pattern Recognition and Graphics.; Database Management.; Computer Graphics.
• Φυσική περιγραφή: XII, 262 p. 94 illus. online resource.
• ISBN: 9783319022673
• ISSN: 0302-9743 ;

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 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.