1 option
Machine Learning in Medical Imaging : Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers / edited by Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7588
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7588
- Language:
- English
- Subjects (All):
- Computer vision.
- Pattern recognition systems.
- Artificial intelligence.
- Image processing-Digital techniques.
- Database management.
- Computer graphics.
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Database Management.
- Computer Graphics.
- Local Subjects:
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Database Management.
- Computer Graphics.
- Physical Description:
- 1 online resource (XII, 276 pages) : 91 illustrations
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-35428-1
- 9783642354281
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.