Compensated Row-Column Ultrasound Imaging System Using Edge-Guided Three Dimensional Random Fields
Bibliographic record
Abstract
The row-column method is a simplification technique used to reducethe complexity of a fully addressed 2-D array. Although itgreatly reduces the number of physical connections required aswell as the amount of data to be handled, it still has limitations; itsimaging data output is sparse, it suffers from speckle noise, and itsspatially-dependant point spread function is riddled with edge artifacts.In this work, we propose a row-column ultrasound imagingsystem, termed CRUIS3D, that uses a 3-D edge-guided randomfield approach to compensate for the limitations of the row-columnmethod. Tests on CRUIS3D and previously published row-columnsystems show the effectiveness of our proposed system as a toolfor enhancing 3-D row-column ultrasound imaging.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 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".