Aug 31, 2022 · Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has ...
A two-staged CycleGAN-based network is proposed for harmonizing retinal OCT images acquired from different devices.
This study addresses this issue using domain adaptation methods improved by Cycle-Consistent Generative Adversarial Networks (CycleGAN), especially when the ...
This paper proposes a straightforward unsupervised domain adaptation method for multi-device retinal OCT image segmentation which does not require labeled ...
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial ...
May 8, 2024 · ... multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. Comput. Biol. Medicine 159: 106595 ...
Congratulations to Dr. Da Ma, Dr. Sieun Lee, and Dr. Myeong Jin Ju on their newest research paper, "Segmentation-guided domain adaptation and data harmonization ...
Herewith, we investigated the implementation of a Cycle-Consistent Generative Adversarial Networks (CycleGAN) for the domain adaptation of Optical Coherence ...
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial ...
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Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial ...