Name
Abstract | ||
|---|---|---|
Image registration is a crucial task in medical applications and is perceived as an optimization problem which has an important interest in clinical diagnosis. In this work, we propose an optimization strategy based on a specific design of genetic algorithm combined with the gradient descent optimizer within multi-resolution scheme. The performance of the proposed method was tested and evaluated on real multimodal registration scenarios from the Retrospective Image Registration Evaluation (RIR) database. Our method results were compared with those of existing registration methods, they are accurate and effective. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ATSIP49331.2020.9231906 | 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
Keywords | DocType | ISSN |
Medical image registration,multi-resolution optimization,genetic algorithm,gradient descent optimization | Conference | 2641-5941 |
ISBN | Citations | PageRank |
978-1-7281-7514-0 | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asma Daly | 1 | 0 | 0.34 |
| Hedi Yazid | 2 | 0 | 0.34 |
| Basel Solaiman | 3 | 127 | 35.05 |
| Najoua Essoukri Ben Amara | 4 | 209 | 41.48 |