Three-dimensional visualization of human fundus from a sequence of angiograms
Bibliographic record
Abstract
We explore the feasibility of reconstructing some three-dimensional (3D) surface information of the human fundus present in a sequence of fluorescein angiograms. The angiograms are taken during the same examination with an uncalibrated camera. The camera is still and we assume that the natural head/eye micro movement is large enough to create the necessary view change for the stereo effect. We test different approaches to calculate the fundamental matrix and the disparity map. A careful medical analysis of the reconstructed 3D information indicates that it represents the 3D distribution of the fluorescein within the eye fundus rather than the 3D retina surface itself because the latter is mainly a translucent medium. Qualitative evaluation is presented and compared with the 3D information perceived with a stereoscope. This preliminary study indicates that our approach could provide a simple way to extract 3D fluorescein information without the use of a complex stereo image acquisition setup.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".