Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/349
Title: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
Other Titles: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers /
Authors: Meller, Henning. ;;Kelm, B. Michael. ;;Arbel, Tal. ;;Cai, Weidong. ;;Cardoso, M. Jorge. ;;Langs, Georg. ;;Menze, Bjoern. ;;Metaxas, Dimitris. ;;Montillo, Albert. ;;Wells III, William M. ;;Zhang, Shaoting. ;;Chung, Albert C.S. ;;Jenkinson, Mark
subject: Computer Science;Health informatics. ;;Mathematical statistics. ;;Computer Science and Mathematics;Artificial Intelligence;Image processing. ;;Pattern recognition. ;;Computer Science;Image Processing and Computer Vision. ;;Health Informatics. ;;Artificial Intelligence and Robotics;Probability and Statistics in Computer Science. ;;Math Applications in Computer Science. ;;Pattern Recognition. ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Computer Science, ; 0302-9743 ; ; 10081. ;
Lecture Notes in Computer Science, ; 0302-9743 ; ; 10081. ;
Abstract: This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big dataee algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis. ;
Description: SpringerLink (Online service) ;


Printed edition: ; 9783319611877. ;

URI: http://localhost/handle/Hannan/349
ISBN: 9783319611884 ;
9783319611877 (print) ;
More Information: XIII, 222 p. 75 illus. ; online resource. ;
Appears in Collections:مهندسی مدیریت ساخت

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Title: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
Other Titles: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers /
Authors: Meller, Henning. ;;Kelm, B. Michael. ;;Arbel, Tal. ;;Cai, Weidong. ;;Cardoso, M. Jorge. ;;Langs, Georg. ;;Menze, Bjoern. ;;Metaxas, Dimitris. ;;Montillo, Albert. ;;Wells III, William M. ;;Zhang, Shaoting. ;;Chung, Albert C.S. ;;Jenkinson, Mark
subject: Computer Science;Health informatics. ;;Mathematical statistics. ;;Computer Science and Mathematics;Artificial Intelligence;Image processing. ;;Pattern recognition. ;;Computer Science;Image Processing and Computer Vision. ;;Health Informatics. ;;Artificial Intelligence and Robotics;Probability and Statistics in Computer Science. ;;Math Applications in Computer Science. ;;Pattern Recognition. ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Computer Science, ; 0302-9743 ; ; 10081. ;
Lecture Notes in Computer Science, ; 0302-9743 ; ; 10081. ;
Abstract: This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big dataee algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis. ;
Description: SpringerLink (Online service) ;


Printed edition: ; 9783319611877. ;

URI: http://localhost/handle/Hannan/349
ISBN: 9783319611884 ;
9783319611877 (print) ;
More Information: XIII, 222 p. 75 illus. ; online resource. ;
Appears in Collections:مهندسی مدیریت ساخت

Files in This Item:
File Description SizeFormat 
9783319611884.pdf33.36 MBAdobe PDFThumbnail
Preview File
Title: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
Other Titles: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers /
Authors: Meller, Henning. ;;Kelm, B. Michael. ;;Arbel, Tal. ;;Cai, Weidong. ;;Cardoso, M. Jorge. ;;Langs, Georg. ;;Menze, Bjoern. ;;Metaxas, Dimitris. ;;Montillo, Albert. ;;Wells III, William M. ;;Zhang, Shaoting. ;;Chung, Albert C.S. ;;Jenkinson, Mark
subject: Computer Science;Health informatics. ;;Mathematical statistics. ;;Computer Science and Mathematics;Artificial Intelligence;Image processing. ;;Pattern recognition. ;;Computer Science;Image Processing and Computer Vision. ;;Health Informatics. ;;Artificial Intelligence and Robotics;Probability and Statistics in Computer Science. ;;Math Applications in Computer Science. ;;Pattern Recognition. ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Lecture Notes in Computer Science, ; 0302-9743 ; ; 10081. ;
Lecture Notes in Computer Science, ; 0302-9743 ; ; 10081. ;
Abstract: This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big dataee algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis. ;
Description: SpringerLink (Online service) ;


Printed edition: ; 9783319611877. ;

URI: http://localhost/handle/Hannan/349
ISBN: 9783319611884 ;
9783319611877 (print) ;
More Information: XIII, 222 p. 75 illus. ; online resource. ;
Appears in Collections:مهندسی مدیریت ساخت

Files in This Item:
File Description SizeFormat 
9783319611884.pdf33.36 MBAdobe PDFThumbnail
Preview File