The design and realization of the ultrasound image capture system based on video capture
Bibliographic record
Abstract
Objective: To develop a method of using video capture card to realize the capture and digitalized store and transmission of ultrasound images. Methods: By using the Matrox RGB colour video capture card and the attatched MIL6.1 function base from the Canadian Matrox Corporation,with VC++6.0 used to develop image capture program, video signals were acquired from the video output port and then were fed to computers and by means of A/D translation the digitalzation of ultrasound images was realized. Results: By programming with MIL6.1 and VC++6.0, we realized the ultrasound image capture and store system and the images could be transmitted by LAN. The system could connect with PACS server with the database functional model and we could acquire the images remotely. Conclusion: This system is simple and doesn't cost much, the capture program works under Windows 2000 professional environment and the friendly user interface makes it very convenient to use.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".