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Adaptive contour prediction in postoperative OCT imaging using domain-adaptive generative adversarial networks
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DOI：10.1016/j.pdpdt.2026.105555.png)
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Abstract
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• Proposed DaCGAN can integrate various foundational data for training. • Structural guidance can generate more complete postoperative OCT contours. • It outperforms existing methods on the Diabetic Macular Edema and Retinal Vein Occlusion datasets.
Keywords:
Optical coherence tomography
Image-to-image translation
Adversarial domain-adaptive methods
Generative adversarial networks
Computer aided diagnosis
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