Cargando…
Machine Learning Meets Medical Imaging First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers /
Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Edición: | 1st ed. 2015. |
| Colección: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
9487 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-27929-9 | ||
| 003 | DE-He213 | ||
| 005 | 20220115084908.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 151229s2015 sz | s |||| 0|eng d | ||
| 020 | |a 9783319279299 |9 978-3-319-27929-9 | ||
| 024 | 7 | |a 10.1007/978-3-319-27929-9 |2 doi | |
| 050 | 4 | |a TA1634 | |
| 072 | 7 | |a UYQV |2 bicssc | |
| 072 | 7 | |a COM012000 |2 bisacsh | |
| 072 | 7 | |a UYQV |2 thema | |
| 082 | 0 | 4 | |a 006.37 |2 23 |
| 245 | 1 | 0 | |a Machine Learning Meets Medical Imaging |h [electronic resource] : |b First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers / |c edited by Kanwal Bhatia, Herve Lombaert. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2015. | |
| 300 | |a X, 105 p. 31 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; |v 9487 | |
| 505 | 0 | |a 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. | |
| 520 | |a Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This book constitutes the revised selected papers of the First International Workshop on Machine Learning in Medical Imaging, MLMMI 2015, held in July 2015 in Lille, France, in conjunction with the 32nd International Conference on Machine Learning, ICML 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in the book. The papers communicate the specific needs and nuances of medical imaging to the machine learning community while exposing the medical imaging community to current trends in machine learning. . | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Computer science. | |
| 650 | 1 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computational and Systems Biology. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Algorithms. |
| 650 | 2 | 4 | |a Theory of Computation. |
| 700 | 1 | |a Bhatia, Kanwal. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Lombaert, Herve. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319279282 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319279305 |
| 830 | 0 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; |v 9487 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-27929-9 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 912 | |a ZDB-2-LNC | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||