gOLIVES/OLIVES_Dataset
OLIVES_Dataset Abstract Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimensional Optical Coherence Tomography (OCT) scans. While the clinical labels, fundus images and OCT scans are instrumental measurements, the vectorized biomarkers are interpreted attributes from the other measurements. Clinical practitioners use all these data… See the full description on the dataset page: https://huggingface.co/datasets/gOLIVES/OLIVES_Dataset.
| Author / organization | gOLIVES |
|---|---|
| License (as declared) | mit |
| Downloads | 3.6K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 3 October 2024 |
| Last updated at source | 27 March 2026 |
Recent changes
- 16 Oct 2026 Description: OLIVES_Dataset Abstract Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimensional Optical Coherence Tomography → OLIVES_Dataset Abstract Clinical diagnosis of the eye is performed over multifarious data modalities including scalar clinical labels, vectorized biomarkers, two-dimensional fundus images, and three-dimensional Optical Coherence Tomography
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