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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

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