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Machine Learning in Medical Imaging

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

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning in Medical Imaging Li Wang
Libristo kod: 14208638
Nakladnici Springer International Publishing AG, listopad 2016
This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning... Cijeli opis
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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.

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Informacije o knjizi

Puni naziv Machine Learning in Medical Imaging
Autor Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2016
Broj stranica 324
EAN 9783319471563
ISBN 3319471562
Libristo kod 14208638
Nakladnici Springer International Publishing AG
Težina 5153
Dimenzije 155 x 235 x 20

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Information technology: general issues > Health & safety aspects of IT
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
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