Return to home page
Searching: Muskingum library catalog
Some OPAL libraries remain closed or are operating at reduced service levels. Materials from those libraries may not be requestable; requested items may take longer to arrive. Note that pickup procedures may differ between libraries. Please contact your library for new procedures, specific requests, or other assistance.
  Previous Record Previous Item Next Item Next Record
  Reviews, Summaries, etc...
EBOOK
Conference International Workshop on Medical Learning Meets Medical Imaging (1st : 2015 : Lille, France)
Title Machine learning meets medical imaging : first International Workshop, MLMMI 2015, held in conjunction with ICML 2015, Lille, France, July 11, 2015, Revised selected papers / Kanwal K. Bhatia, Herve Lombaert (eds.).
Imprint Cham : Springer, 2015.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Conference International Workshop on Medical Learning Meets Medical Imaging (1st : 2015 : Lille, France)
Series Lecture notes in computer science, 0302-9743 ; 9487
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 9487. 0302-9743
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Subject Machine learning -- Congresses.
Artificial intelligence -- Medical applications -- Congresses.
Diagnostic imaging -- Data processing -- Congresses.
Alt Name Bhatia, Kanwal K.,
Lombaert, Herve,
Add Title MLMMI 2015
Description 1 online resource (x, 105 pages) : color illustrations.
polychrome rdacc
Note Includes author index.
Summary 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.
Contents 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.
Note Online resource; title from PDF title page (SpringerLink, viewed January 12, 2016).
ISBN 9783319279299 (electronic bk.)
3319279297 (electronic bk.)
3319279289 (print)
9783319279282 (print)
9783319279282
ISBN/ISSN 10.1007/978-3-319-27929-9
OCLC # 934518214
Additional Format Printed edition: 9783319279282


If you experience difficulty accessing or navigating this content, please contact the OPAL Support Team