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

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

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. T...

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Détails bibliographiques
Auteur principal : Wu Guorong (Directeur de publication)
Format : Livre
Langue : anglais
Titre complet : Machine Learning in Medical Imaging : 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings / edited by Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang.
Publié : Cham : Springer International Publishing , 2013
Cham : Springer Nature
Collection : Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8184
Accès en ligne : Accès Nantes Université
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Condition d'utilisation et de reproduction : Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017
Sujets :
Computer Science
Artificial Intelligence (incl. Robotics)
Image Processing and Computer Vision
Pattern Recognition
Computer Imaging, Vision, Pattern Recognition and Graphics
Database Management
Computer Graphics
Artificial Intelligence.
Automated Pattern Recognition
Computer Vision
Actes de congrès
Documents associés : Autre format: Machine Learning in Medical Imaging
Autre format: Machine Learning in Medical Imaging
Description
Résumé : 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.
ISBN : 978-3-319-02267-3
DOI : 10.1007/978-3-319-02267-3