Learned optical flow for intra-operative tracking of the retinal fundus

PURPOSE: Sustained delivery of regenerative retinal therapies by robotic systems requires intra-operative tracking of the retinal fundus. We propose a supervised deep convolutional neural network to densely predict semantic segmentation and optical flow of the retina as mutually supportive tasks, im...

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Detalles Bibliográficos
Autores principales: Ravasio, Claudio S., Pissas, Theodoros, Bloch, Edward, Flores, Blanca, Jalali, Sepehr, Stoyanov, Danail, Cardoso, Jorge M., Da Cruz, Lyndon, Bergeles, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261285/
https://www.ncbi.nlm.nih.gov/pubmed/32323210
http://dx.doi.org/10.1007/s11548-020-02160-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7261285/
https://www.ncbi.nlm.nih.gov/pubmed/32323210
http://dx.doi.org/10.1007/s11548-020-02160-9

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