Calibration Stability and Localization Accuracy of a Low-Cost and Portable Breast Microwave Sensing Device
Bibliographic record
Abstract
Breast cancer detection is limited in low- and middle-income countries and low-income and remote commu-nities in developed countries. Screening limitations contribute to disproportionally high mortality rates. To address these realities, a portable breast microwave sensing system was constructed using low-cost equipment. The device features a cylindrical array of twenty-four thin patch antennas each connected to a small, inexpensive Nano Vector Network Ana-lyzer (NanoVNA). Due to limitations with the NanoVNA, an enhanced response 2-port calibration method was used instead of a full 2-port calibration. The accuracy of the enhanced calibration model was compared to the full 2-port calibration using a Copper Mountain C1209 VNA. The NanoVNA cali-bration model agreed with the full 2-port model within 0.67 %. Experimental S<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</inf>measurements were performed on metal rods from 0.6 - 4.4 GHz. A radar image reconstruction method was used to extract the apparent location of the metal rods. The stability of the Nano Vnacalibration was monitored over 24 weeks, showing insignificant changes in the extracted rod positions. Correcting for positioning errors reduced the average localization error from 1.6 ± 0.9 mm to 1.1 ± 0.7 mm.
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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".