Data-adaptive filtering approach for microwave breast imaging: consistency of volunteer scans
Bibliographic record
Abstract
Microwave imaging (MI) is suited to monitoring breast health due to its safety and low cost. A microwave imaging transmission system (MITS) is being developed at the University of Calgary to measure and monitor the permittivity of tissue over time. This preliminary study presents an adaptive filtering technique to remove higher frequency artifacts, likely caused by incomplete contact between the skin and the antennas. This work investigates the impact of the filtering method on scans of two volunteers taken at different time points. As good contact between antennas and tissue is achieved for these scans, small changes are anticipated after application of the filtering strategy. Results show that the consistency of signals, permittivity estimates, and images over time is high, before and after filtering, for both volunteers. This preliminary study suggests that the filtering approach has potential for removing artifacts at higher frequencies, while preserving the integrity of clean signals.
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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".