Machine Learning in Medical Imaging

7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk (Herausgeber)

Buch | Softcover

XIV, 324 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-47156-3 (ISBN)

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This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.

The 38 full papers presented in this volume were carefully reviewed and selected from 60 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.

Erscheinungsdatum	04.11.2016
Reihe/Serie	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XIV, 324 p. 127 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Schlagworte	3D ultrasound • Applications • brain MRI • classification • Computer-aided Diagnosis • Computer Science • computer vision • conference proceedings • Deep learning • dimensionality reduction • ensemble learning • factorization methods • Image Processing • image processing and computer vision • Image Segmentation • Informatics • Kernel Methods • machine learning • manifold learning • Medical Image Analysis • multi-task learning • Neural networks • regression trees • Research • sensorless reconstruction • Shape Representation • supervised learning
ISBN-10	3-319-47156-2 / 3319471562
ISBN-13	978-3-319-47156-3 / 9783319471563
Zustand	Neuware