Graph Learning in Medical Imaging First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zhang, Daoqiang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhou, Luping (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jie, Biao (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Liu, Mingxia (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11849
• Θέματα: Artificial intelligence.; Optical data processing.; Pattern recognition.; Application software.; Artificial Intelligence.; Image Processing and Computer Vision.; Pattern Recognition.; Computer Appl. in Social and Behavioral Sciences.
• Φυσική περιγραφή: IX, 182 p. 87 illus., 68 illus. in color. online resource.
• ISBN: 9783030358174
• DOI: 10.1007/978-3-030-35817-4

This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.