A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration

In ophthalmology, the registration problem consists of finding a geometric transformation that aligns a pair of images, supporting eye-care specialists who need to record and compare images of the same patient. Considering the registration methods for handling eye fundus images, the literature offer...

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Detalles Bibliográficos
Autores principales: Benvenuto, Giovana A., Colnago, Marilaine, Dias, Maurício A., Negri, Rogério G., Silva, Erivaldo A., Casaca, Wallace
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404907/
https://www.ncbi.nlm.nih.gov/pubmed/36004894
http://dx.doi.org/10.3390/bioengineering9080369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404907/
https://www.ncbi.nlm.nih.gov/pubmed/36004894
http://dx.doi.org/10.3390/bioengineering9080369

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