Multi-task OCT for Octascope
Version 1This dataset supports the development of Octascope, a high-performance foundation model for optical coherence tomography (OCT) image analysis. The dataset comprises 449,000+ OCT images spanning multiple tissue types, including retina, kidney, and abdominal tissues, curated from publicly available sources and prior research efforts. These images were used in a curriculum learning strategy to pre-train convolutional neural networks on both general (ImageNet) and domain-specific OCT features. The r
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This dataset supports the development of Octascope, a high-performance foundation model for optical coherence tomography (OCT) image analysis. The dataset comprises 449,000+ OCT images spanning multiple tissue types, including retina, kidney, and abdominal tissues, curated from publicly available sources and prior research efforts. These images were used in a curriculum learning strategy to pre-train convolutional neural networks on both general (ImageNet) and domain-specific OCT features. The r