Reconstruction, Segmentation, and Analysis of Medical Images : First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Mentés helye:
Testületi szerző: | |
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Közreműködő(k): | |
Különgyűjtemény: | e-book |
Formátum: | könyv |
Nyelv: | angol |
Megjelenés: |
Cham : Springer International Publishing,
2017
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Sorozat: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10129 |
Tárgyszavak: | |
Online elérés: | https://doi.org/10.1007/978-3-319-52280-7 |
Címkék: |
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245 | 0 | 0 | |a Reconstruction, Segmentation, and Analysis of Medical Images |b First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers |c edited by Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari, Danielle F. Pace |
260 | |a Cham |b Springer International Publishing |c 2017 | ||
300 | |a XI, 174 p. |b ill. | ||
336 | |a szöveg |b txt |2 rdacontent | ||
337 | |a számítógépes |b c |2 rdamedia | ||
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347 | |a szövegfájl |b PDF |2 rda | ||
490 | 1 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics |v 10129 | |
505 | 0 | |a Registration -- Reconstruction -- Deep learning for heart segmentation -- Discrete optimization and probabilistic intensity modeling -- Atlas-based strategies -- Random forests. | |
520 | |a This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016. The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests. | ||
580 | |a Nyomtatott kiadás: ISBN 9783319522791 | ||
580 | |a Nyomtatott kiadás: ISBN 9783319522814 | ||
506 | |a Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. | ||
598 | |a könyv | ||
595 | |a e-book | ||
650 | 0 | 4 | |a számítógépes látás |x informatika |x konferencia |
650 | 0 | |a Computer vision. | |
650 | 1 | 4 | |a Image Processing and Computer Vision. |0 http://scigraph.springernature.com/things/product-market-codes/I22021 |
653 | |a elektronikus könyv | ||
653 | |a konferenciakötet | ||
653 | |a tanulmányok | ||
700 | 1 | |a Zuluaga, Maria A. |e szerk. | |
710 | 2 | |a SpringerLink (Online service) |e közreadó testület | |
830 | 0 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics | |
850 | |a B2 | ||
856 | 4 | 0 | |y Online változat |u https://doi.org/10.1007/978-3-319-52280-7 |
264 | 1 | |a Cham |b Springer International Publishing |b Imprint: Springer |c 2017 |