Machine Learning in Medical Imaging 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
by
 
Wang, Li. editor.

Title
Machine Learning in Medical Imaging 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

Author
Wang, Li. editor.

ISBN
9783319471570

Physical Description
XIV, 324 p. 127 illus. online resource.

Series
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10019

Abstract
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.

Subject Term
Computer vision.
 
Optical pattern recognition.
 
Medical records -- Data processing.
 
Data mining.
 
Artificial intelligence.
 
Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021
 
Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X
 
Health Informatics. http://scigraph.springernature.com/things/product-market-codes/I23060
 
Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030
 
Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000

Added Author
Wang, Li.
 
Adeli, Ehsan.
 
Wang, Qian.
 
Shi, Yinghuan.
 
Suk, Heung-Il.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-319-47157-0


LibraryMaterial TypeItem BarcodeShelf NumberStatus
IYTE LibraryE-Book2085807-1001TA1637 -1638Online Springer