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Start Over Author "Fei Wang" Category computers / software development & engineering / computer graphics
2 results on '"Fei Wang"'

1. Machine Learning in Medical Imaging : 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

Author

Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang, Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, and Fei Wang

Subjects
Computer vision, Pattern recognition systems, Artificial intelligence, Image processing—Digital techniques, Database management, Computer graphics
Abstract

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.

Published
2013

2. Machine Learning in Medical Imaging : Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers

Author

Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang, Dinggang Shen, Pingkun Yan, and Kenji Suzuki

Subjects
MLMI, MICCAI, Medical imaging, Machine learning--Congresses, Diagnostic imaging--Data processing--Congresse, Artificial intelligence--Medical applications --, Image Interpretation, Computer-Assisted--methods, Artificial Intelligence--Congresses, Pattern Recognition, Automated--Congresses
Abstract

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.

Published
2012

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