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Machine Learning in Medical Imaging

4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning in Medical Imaging Guorong Wu
Libristo kod: 02076810
Nakladnici Springer International Publishing AG, kolovoz 2013
This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning... Cijeli opis
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This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim 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 Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2013
Broj stranica 262
EAN 9783319022666
ISBN 3319022660
Libristo kod 02076810
Nakladnici Springer International Publishing AG
Težina 427
Dimenzije 155 x 235 x 16

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer programming / software engineering > Graphics programming
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
Computing & Information Technology > Databases
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