- Format
- Häftad (Paperback / softback)
- Språk
- Engelska
- Antal sidor
- 105
- Utgivningsdatum
- 2015-12-30
- Upplaga
- 1st ed. 2015
- Förlag
- Springer International Publishing AG
- Medarbetare
- Bhatia, Kanwal (ed.), Lombaert, Herve (ed.)
- Illustratör/Fotograf
- Bibliographie
- Illustrationer
- 31 Illustrations, color; X, 105 p. 31 illus. in color.
- Dimensioner
- 234 x 156 x 6 mm
- Vikt
- Antal komponenter
- 1
- Komponenter
- 1 Paperback / softback
- ISBN
- 9783319279282
- 173 g
Du kanske gillar
-
Young Forever
Mark Hyman
HäftadMachine Learning Meets Medical Imaging
First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers
561- Skickas inom 7-10 vardagar.
- Gratis frakt inom Sverige över 199 kr för privatpersoner.
Finns även somPassar bra ihop
De som köpt den här boken har ofta också köpt Tomorrow, And Tomorrow, And Tomorrow av Gabrielle Zevin (häftad).
Köp båda 2 för 717 krKundrecensioner
Har du läst boken? Sätt ditt betyg »Fler böcker av författarna
-
Reconstruction, Segmentation, and Analysis of Medical Images
Maria A Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H Moghari, Danielle F Pace
-
Shape in Medical Imaging
Martin Reuter, Christian Wachinger, Herve Lombaert, Beatriz Paniagua, Marcel Luthi
-
Spectral and Shape Analysis in Medical Imaging
Martin Reuter, Christian Wachinger, Herve Lombaert
Innehållsförteckning
Retrospective motion correction of magnitude-input MR images.- Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.- Learning Deep Temporal Representations for fMRI Brain Decoding.- Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.- Improving MRI brain image classification with anatomical regional kernels.- A Graph Based Classification Method for Multiple Sclerosis Clinical Form Using Support Vector Machine.- Classification of Alzheimer's Disease using Discriminant Manifolds of Hippocampus Shapes.- Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases.