Average dielectric properties of the human breast from ultra wide band transmission measurements
Bibliographic record
Abstract
Microwave imaging systems are being developed for breast cancer screening, treatment follow-up and breast health monitoring. Several different methods are being investigated. Microwave tomography (1) uses an array of antennas to collect transmission data through the breast; a forward model and iterative algorithm are used to reconstruct a dielectric property map of the breast interior (Meaney et al., Breast Cancer Research, 2013). Radar based techniques (2) rely on reflections from breast tissues to reconstruct a scattering intensity map where high scatter indicates potential tumors (Fear et al., IEEE Trans. Microw. Theory Techn., 2013). In this contribution, we report on a time domain spectroscopy technique using microwave transmission data between two antenna arrays. The resulting information is an average permittivity value of the breast over the interrogation frequencies, which is useful for both radar and tomography.
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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".