Multi-Spectral Imaging of Circumscribed Choroidal Hemangioma Introduction
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: To illustrate the features of a circumscribed choroidal hemangioma (CCH) using Annidis RHA multi-spectral imaging (MSI) technology (Annidis Corporation, Ottawa, Canada). This novel imaging technique uses non-overlapping, narrow-band LED light sources ranging from 520 nm to 940 nm to create a monochromatic series of en face fundus images and oxy/deoxyhemoglobin contrasted maps of the retina and choroid. PATIENTS AND METHODS: Annidis RHA MSI images were taken of a 67-year-old Chinese male with CCH. These en face fundus images are presented alongside the traditional fundus photograph, optical coherence tomography, and fluorescein and indocyanine green angiograms. RESULTS: Multi-spectral en face images of the outer retina and choroid demonstrated a clearly delineated lesion with a disorganized choroidal vascular network and increased reflectance/ oxyhemoglobin levels within. CONCLUSION: MSI technology is a noninvasive imaging technique that can depict the vascular features and choroidal oxygenation of CCH lesions and has a potential role in monitoring its growth complications. [Ophthalmic Surg Lasers Imaging Retina. 2017;48:572-575.].
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".