Machine Learning for Medical Image Reconstruction Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Knoll, Florian (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Maier, Andreas (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Rueckert, Daniel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ye, Jong Chul (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 ; 11905
• Θέματα: Artificial intelligence.; Education-Data processing.; Application software.; Bioinformatics.; Optical data processing.; Health informatics.; Artificial Intelligence.; Computers and Education.; Computer Appl. in Social and Behavioral Sciences.; Computational Biology/Bioinformatics.; Image Processing and Computer Vision.; Health Informatics.
• Φυσική περιγραφή: IX, 266 p. 128 illus., 94 illus. in color. online resource.
• ISBN: 9783030338435
• DOI: 10.1007/978-3-030-33843-5

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.