Detection of neovascularization near the optic disk due to diabetic retinopathy
Bibliographic record
Abstract
We propose a technique for detection of neovascularization near the optic disk due to diabetic retinopathy. Images of the retinal fundus are analyzed using a measure of angular spread of the Fourier power spectrum of the gradient magnitude of the original images using the horizontal and vertical Prewitt operators. The entropy of the angular spread of the Fourier power spectrum and spatial variance are adopted to distinguish normal optic disks from those affected by neovascularization. The two-sided Kolmogorov-Smirnov nonparametric test is used to evaluate the significance of the difference of entropy between normal and abnormal optic disks. Based on the computed measures, we employ a linear classifier to discriminate normal from abnormal optic disks. The proposed method was able to classify a small set of five normal and five neovascularization cases with 100% accuracy.
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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) | 0.000 | 0.000 |
| 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".