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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Dettagli Bibliografici
Pubblicato in:Int J Comput Assist Radiol Surg
Autori principali: Ravasio, Claudio S., Pissas, Theodoros, Bloch, Edward, Flores, Blanca, Jalali, Sepehr, Stoyanov, Danail, Cardoso, Jorge M., Da Cruz, Lyndon, Bergeles, Christos
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer International Publishing 2020
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Original Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7261285/
https://ncbi.nlm.nih.gov/pubmed/32323210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-020-02160-9
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