Machine Learning for Medical Image Reconstruction

First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Florian Knoll, Andreas Maier, Daniel Rueckert (Herausgeber)

Buch | Softcover

X, 158 Seiten

2018
Springer International Publishing (Verlag)
9783030001285 (ISBN)

Infos

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.

The 17 full papers presented were carefully reviewed and selected from 21 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.

Inhalt

Deep learning for magnetic resonance imaging.- Deep learning for computed tomography.- Deep learning for general image reconstruction.

Produkt-Details

• Erscheinungsdatum: 13.09.2018
• Reihe/Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: X, 158 p. 67 illus.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Gewicht: 266 g
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Artificial Intelligence • Computer Architecture • computerized tomography • Image Analysis • Image Processing • Image Quality • image reconstruction • Image Segmentation • life and medical sciences • machine learning • machine learning algorithms • machine learning theory • Medical Imaging • Medical technologies • Neural networks • reconstruction • sensors
• ISBN-13: 9783030001285 / 9783030001285
• Zustand: Neuware