An automatic evaluation method for retinal image registration based on similar vessel structure matching.
Registration of retinal images is significant for clinical diagnosis. Numerous methods have been proposed to evaluate registration performance. The available evaluation methods can work well in normal image pairs, but fair evaluation cannot be obtained for image pairs with anatomical changes. We pro...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 1; pp. 117 - 130 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |