Surgical scene generation and adversarial networks for physics-based iOCT synthesis

Surgical scene generation and adversarial networks for physics-based iOCT synthesis

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The development and integration of intraoperative optical coherence tomography (iOCT) into modern operating rooms has motivated novel procedures directed at improving the outcome of ophthalmic surgeries. Although computer-assisted algorithms could further advance such interventions, the limited avai...

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Bibliographic Details
Main Authors: Gehlbach, P.L (Author), Iordachita, I. (Author), Mach, K. (Author), Martin-Gomez, A. (Author), Nasseri, M.A (Author), Navab, N. (Author), Sommersperger, M. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Adversarial networks
algorithm
article
B scan
Computer assisted
controlled study
Data set
data synthesis
deep learning
Deep learning
Generative adversarial networks
geometry
human
image artifact
Intra-operative
microsurgery
Ophthalmic surgery
optical coherence tomography
Optical tomography
physics
Physics-based
Retinal layers
Scene generation
Simulated environment
simulation
Surgery
synthesis
Tomography system
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