Initial Contour for Ultrasound Carotid Artery Snakes
Bibliographic record
Abstract
Since it was introduced by Kass et al., the active contour model (also known as snake model, balloon model, or deformable model) has been extensively studied and widely used in segmenting medical images, due to its robustness to both image noise and boundary gaps. Yet, active contouring is very sensitive to the initial contour that is provided by the user. In this paper we present an algorithm for determining a good initial carotid artery lumen contour in ultrasound images. Our algorithm reduces user interaction as a user is only required to place a seed point inside the region of interest. It attempts to adjust the contour to be close enough to the actual contour. The results of our extracted initial contours have good overlap with contours that are manually delineated by an experienced clinician. In addition, the output of our proposed scheme can be perfectly used as an input to any active contour algorithm to produce even better results.
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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) | 0.000 | 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".