High-Order Models in Semantic Image Segmentation
Academic Press Inc (Verlag)
978-0-12-805320-1 (ISBN)
Ismail Ben Ayed received a Ph.D. degree (with the highest honor) in the area of computer vision from the National Institute of Scientific Research (INRS-EMT), University of Quebec, Montreal, QC, Canada, in May 2007, under the guidance of Professor Amar Mitiche. Since then, he has been a research scientist with GE Healthcare, London, ON, Canada, conducting research in medical image analysis. He also holds an Adjunct Professor appointment at Western University, department of Medical Biophysics. He co-authored a book, over 50 peer-reviewed papers in reputable journals and conferences, and six patents. He received a GE recognition award in 2012 and a GE innovation award in 2010 Ismail Ben Ayed is an image segmentation and optimization expert who has authored over 60 peer-reviewed articles in the field and has co-authored the book Variational and Level Set Methods in Image Segmentation, 2011, which is receiving a high citation rate.
1. Introductory Background
2. Basic segmentation models
3. Standard optimization techniques
4. High-order models
5. Advanced optimization: Auxiliary functions and pseudo bounds
6. Advanced optimization: Trust region
7. Medical imaging applications
8. Appendix
Erscheinungsdatum | 10.07.2023 |
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Verlagsort | San Diego |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 430 g |
Themenwelt | Technik ► Nachrichtentechnik |
ISBN-10 | 0-12-805320-8 / 0128053208 |
ISBN-13 | 978-0-12-805320-1 / 9780128053201 |
Zustand | Neuware |
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